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• 2025

  • April

    • All in the Data: Data Governance in the Not-for-Profit World
    • Breaking the AI Loop: From Static Thinking to Living Intelligence
    • The Impact of Eco-Friendly Innovations on Data Management
    • The Book Look: Marketing Intelligence Volume 1 — Building the Foundation
    • What Is Augmented Analytics and Why Is It Important?
    • The Importance of Data Strategy in Digital Transformation
    • Data Professional Introspective: The Final Retrospect
    • Crossing the Data Divide: Where Should Data Lineage Rank in a Data Leader’s Priorities?
    • Why We Shouldn’t Be Surprised by the High Failure Rates of AI
    • What Does the Citizen Data Scientist Concept Entail?
    • Shadow AI – Rising from the Penumbra
    • The Role of Dark Data: Uncovering Insights in Unused Information

  • March

    • What If AI’s Mistakes Aren’t Bugs, but Features?
    • A Practical Approach to Data Mesh Implementation
    • The Data-Centric Revolution: ABox Versioning
    • Legal Issues for Data Professionals: A New Data Licensing Model
    • Predictive Analytics Supports Citizen Data Scientists
    • The Future of Data Engineering and AI-Driven Analytics in the Workforce
    • Beyond Paper Policies: Building a Living Data Policy Framework
    • AI’s Newest Employee: Who Bears the Burden of Your Digital Co-Workers?
    • Data Is Risky Business: Is Data Governance Failing? Or Are We Failing Data Governance?
    • Through the Looking Glass: Technology Solutions in Search of a Problem
    • A Data Value Manifesto
    • How Data Modeling Made Me a Better Engineer

  • February

    • Living the Ungoverned Life
    • The Serviceberry Mindset: How Nature’s Gift Economy Can Reshape Data Governance
    • Reimagining Data Preparation for High-Impact Decision-Making
    • The Art of Lean Governance: Moving Beyond Governance Buzzwords and Bling
    • Celebrating a Year of Excellence: EDM Council’s Data Excellence Program
    • What Are the Benefits of a Citizen Data Scientist Initiative?
    • Empowering Data Stewards: Building a Forum That Drives Value
    • The State of Data Governance
    • Data Speaks for Itself: Data Quality Management in the Age of Language Models
    • A Step Ahead: IoT Computing – Where Computing Occurs
    • Generative AI vs. Predictive AI: Comparing Apples and Oranges
    • What Is a Citizen Data Scientist and How Has the Role Changed?

  • January

    • Empowering Organizations Through Data Literacy, Governance, and Business Literacy
    • Identifying and Addressing Data Overload
    • Crossing the Data Divide: A Case for Data Leaders Embracing Process Modeling
    • The Brave New World of Embedded BI and Analytics
    • Data Professional Introspective: Your Organization Can’t Create an EDM Strategy
    • Decentralized, Centralized, and Federated Data Governance
    • All in the Data: Too Soon for Q Governance?
    • Digital Transformation in Insurance: Overcoming Legacy Challenges
    • The Book Look: AI & The Data Revolution
    • Building Robust Cybersecurity Frameworks with Outdated Infrastructure
    • How Can Data Visualization Help You Achieve Business Results?
    • Data Observability vs. Data Quality

• 2024

  • December

    • From Chaos to Clarity: The Stealth Guide to Data Governance Success
    • The Data-Centric Revolution: Putting Knowledge Into Our Knowledge Graphs
    • The Challenges of Data Migration: Ensuring Smooth Transitions Between Systems
    • Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain
    • Cybersecurity Strategies for Insurers: Protecting Data in the Digital Age
    • Becoming a Citizen Data Scientist Can Improve Career Opportunities
    • Data Governance Defying Gravitas
    • Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
    • Data Is Risky Business: Structured, Unstructured (Who Cares?)
    • Data Governance Best Practices: Lessons from Anthem’s Massive Data Breach
    • Data Insights Ensure Quality Data and Confident Decisions
    • Combining IoT and Blockchain Technology to Enhance Security

  • November

    • Unleashing the Power of Data: A Guide for CIOs and CDOs
    • Data Speaks for Itself: Data Validation – Data Accuracy Imposter or Assistant?
    • The Art of Lean Governance: A Systems Thinking Approach to Data Governance
    • Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
    • Mastering Data Governance in Insurance: Balancing Innovation with Compliance
    • Combining Traditional and Modern BI Tools
    • Cleaning Up the Data Disaster: How Businesses Can Battle Dirty Data
    • Avoiding Third-Party Data Breaches: Protecting Your Data Beyond Your Walls
    • Eyes on Data: A Data Governance Study Bridging Industry and Academia
    • A Step Ahead: IoT Communication – How Vast Data Is Moved
    • Ethical Considerations in AI-Powered Data Archiving for IT Operations
    • A Data-Driven Approach to Climate Risk Assessment for the Insurance Industry

  • October

    • All in the Data: A New Data Governance Season Is Here
    • Building a Data-Literate Insurance Workforce: Strategies for CDOs
    • 10 Risks of IoT Data Management
    • Data Professional Introspective: The Perennial Question
    • SEC Cybersecurity Mandate: A New Era of Accountability for CISOs and CFOs
    • Transforming Building Automation Data Into Actionable Insights
    • Strengthening Data Governance Through Data Security Governance
    • Scalability in Data Engineering: Preparing Your Infrastructure for Digital Transformation
    • The Book Look: Enterprise Intelligence
    • Data Leader’s Playbook for Data Mapping
    • Data Crime: Cartoon Signatures
    • Leveraging Citizen Data Scientists to Augment Data Science Teams

  • September

    • Combat Governance Dilution: The CGO Solution
    • Data Quality: The Hidden Cornerstone of Digital Transformation Success
    • Through the Looking Glass: More Metaphors and LLMs
    • Legal Issues for Data Professionals: Current Leading U.S. AI Laws
    • Data Crime: Your Phone Isn’t Here
    • How to Build a Robust Data Architecture for Scalable Business Growth
    • Data Literacy: The $100 Million Insurance Policy You’re Probably Ignoring
    • Soft Skills for Data Professionals and Practical Ways to Learn Them
    • Data Is Risky Business: Scaling Data Governance to the National Stage
    • The Data-Centric Revolution: Dealing with Data Complexity
    • Building Sustainable Data Centers for the Digital Age
    • Fundamentals of AI Automation

  • August

    • Change Management in Data Projects: Why We Ignored It and Why We Can’t Afford to Anymore
    • Synergy: Data Security Posture Management and Data Security Governance
    • Eyes on Data: Understanding Data Products and Their Role in Data Marketplaces
    • A Step Ahead: IoT Sensors – Where Vast Data Comes From
    • Data Crime: Chrissy Teigen Is Not a Twin
    • Efficient Data Extraction Techniques for Large Datasets
    • Ensuring AI-Ready Data
    • The Art of Lean Governance: The Integrated Governance Framework
    • Traditional Data Engineering Best Practices Aren’t Cutting It Anymore
    • Data Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
    • Data Crime: Just Move the Data You’ve Got
    • Real-Time Data Streaming in IoT Applications

  • July

    • IoT Data Management: 10 Key Considerations
    • All in the Data: Take Data Vitamins to Improve Corporate Health
    • Data Archiving Best Practices: Ensuring Accessibility and Compliance
    • Crossing the Data Divide: Metrics Stores Remind Me That Data Work Is Hard
    • Data Crime: Election Ballots
    • What Are the Benefits of BI Tools?
    • Artificial vs. Augmented Intelligence
    • Data Security in the Age of Cloud Computing
    • Data Professional Introspective: The Data Management Education Program (Part 2)
    • The Book Look: AI Governance
    • Understanding Augmented Analytics and Its Evolution
    • Data Crime: A Motorcycle Is Not a Honda Civic

  • June

    • The Rising Importance of AI Governance
    • Data Crime: Bob Smith
    • Data Governance Doesn’t Have to Be Scary
    • Through the Looking Glass: Metaphors, MUNCH, and Large Language Models
    • Legal Issues for Data Professionals: Pros and Cons of AI in Healthcare (Part 1)
    • 3 Keys to Citizen Data Scientist Success
    • The End of Agile – Part 6 (Alternatives to Agile)
    • Data Is Risky Business: The Big Picture Ethics of Small Data Actions
    • Data Mart vs. Data Lake: Understanding the Difference
    • The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
    • The True Cost of Your Data in the Cloud

  • May

    • The Risk and Promise of AI
    • The End of Agile – Part 5 (Misapplications of Agile)
    • The Art of Lean Governance: What We Can Learn from HAZMAT Professionals
    • The Analytics Sandwich: Understanding the Business Value of Data and AI
    • Harnessing the Potential of IoT Data
    • Eyes on Data: Improving ESG Reporting with Established Industry Standards
    • Six Data Quality Dimensions to Get Your Data AI-Ready
    • The End of Agile – Part 4 (Lessons from Agile)
    • Data Speaks for Itself: Is Metadata Data?
    • A Step Ahead: IoT Data Characteristics — Seven Vs
    • Master Data Match Rules
    • New Gartner Category Impacts Data Governance Professionals

  • April

    • The End of Agile – Part 3 (What Is Agile Really?)
    • Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal
    • Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
    • Data Governance Made Simple
    • Data Professional Introspective: The Data Management Education Program
    • Data Crime: Arizona Is Not Arkansas
    • The End of Agile – Part 2 (Critiques of Agile)
    • Data Governance Gets a New Impetus
    • All in the Data: A Steward in Need Is a Steward in Deed
    • The Book Look: Cassandra Data Modeling and Schema Design
    • The Importance of Data Due Diligence
    • Do Citizen Data Scientists Add Value or Is the Concept Mere Buzz?

  • March

    • The End of Agile – Part 1 (A Brief History of Agile)
    • Creative Ways to Surf Your Data Using Virtual and Augmented Reality
    • Data Is Risky Business: The Opportunity Exists Between Keyboard and Chair
    • Legal Issues for Data Professionals: AI Creates Hidden Data and IP Legal Problems
    • The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics
    • Data Cleansing Tools for Big Data: Challenges and Solutions
    • Getting the BELT: Empowering Executive Leadership in Data Governance
    • Explaining the Why Behind Data Quality Dimensions
    • Data-Centric: How Big Things Get Done (in IT)
    • The Importance of a Federated Data Stewardship Approach
    • Through the Looking Glass: Data as Code? Or Data as a Code?
    • 5 Best Practices for Data Management in the Cloud

  • February

    • Documenting Critical Data Elements
    • The Art of Lean Governance: Addressing the Elephant in the Room
    • Automating Privacy and Compliance
    • AI Could Save Your Data Governance Program, but It’s Unlikely
    • Eyes on Data: Transforming Data Challenges into Real Progress
    • Explainable AI: 5 Open-Source Tools You Should Know
    • The Rise of Zero-Trust Architecture
    • Stop Complaining About Your Data – And Do Something About It
    • The Modern Data Stack: Why It Should Matter to Data Practitioners
    • Data Speaks for Itself: Is AI the Cure for Data Curation?
    • A Step Ahead: Hierarchies – Boon or Bane?
    • How Data Analytics Is Transforming Due Diligence

  • January

    • Crossing the Data Divide: Data Catalogs and the Generative AI Wave
    • The AI Playbook: Providing Important Reminders to Data Professionals
    • The Evolution of Data Validation in the Big Data Era
    • The Book Look: Data Privacy Across Borders
    • The Currency of Information: Measuring the Value of Data (Part Four)
    • The Evidence Act Brings Opportunity for Data Governance
    • Elevating Data and Analytics for 2024: A GenAI Imperative
    • You Don’t Know Data! (The Importance of Sound Definitions)
    • All in the Data: The Search for Intelligent Life in Your Organization
    • Data Professional Introspective: Demystifying Data Culture
    • The Currency of Information: Managing Data as an Asset (Part Three)
    • 5 Technologies That Will Help You Comply with GDPR

• 2023

  • December

    • Data Protection: Trends and Predictions for 2024
    • The Data-Centric Revolution: Best Practices and Schools of Ontology Design
    • The Currency of Information: What Kind of Asset Is Data? (Part Two)
    • Enhancing Data Quality in Clinical Trials
    • Where Data Governance Should Live
    • Data Is Risky Business: Turning Abstract Ethics into Practical Practices
    • Metadata Governance: An Outline for Success (Part Two)
    • Through the Looking Glass: The Unique Identifier of the Rose
    • A Data Governance Ontology
    • The Currency of Information: The Business Value of Data (Part One)

  • November

    • Metadata Governance: An Outline for Success (Part One)
    • Game-Changing Data Definitions You Cannot Afford to Ignore
    • Data Speaks for Itself: Data Love and Data Limerence
    • Eyes on Data: The Right Foundation for Trusted Data and Analytics
    • Synchronized Video Data Collaboration for Multi-Layered Insights
    • A Halloween Tale That Turns Non-Invasive
    • Self-Service Data Access Best Practices
    • The Art of Lean Governance: Walking the Data Factory
    • A Step Ahead: Categories – Boon or Bane?
    • The Role of Data Stewards in Steering Data Strategy
    • Empowering AI and ML with Data Virtualization

  • October

    • Implementing an Effective Data Strategy
    • Crossing the Data Divide: Framework for Selling Data Initiatives
    • Who Is Responsible for Data Quality in Data Pipeline Projects?
    • The Book Look: Data Strategies for Data Governance
    • Storytelling with Data: Crafting Compelling Narratives
    • Exploring Cloud Computing Risks and Security Hurdles
    • Press Release: DATAVERSITY Acquires The Data Administration Newsletter (TDAN)
    • All in the Data: The TDAN.com Tradition
    • Fresh Ideas for Data Governance Professionals
    • Data Professional Introspective: Accelerating Enterprise Data Quality
    • Weighing the Risks and Rewards of AI
    • Working Toward Public-Private Data Sharing

  • September

    • How to Maximize Multi-Cloud Data Governance
    • The Role of IT in Data Governance
    • Legal Issues for Data Professionals
    • Through the Looking Glass: Data Provenance in the Age of Generative AI
    • Use of Big Data in Investing
    • How to Use Analytics in Web Development
    • Data Product Success With Non-Invasive Data Governance
    • Data is Risky Business: A Wicked Problem This Way Comes
    • Data Governance to Improve Business Intelligence
    • The 5 Stages of Your Data Analytics Journey
    • The Data-Centric Revolution: “RDF Is Too Hard”
    • Data Driven Customer Retention Strategies

  • August

    • Legos and Building Non-Invasive Data Governance Brick by Brick
    • Data Catalog Role in Data Transformation and Governance
    • Eyes on Data: Importance of Data Governance When Implementing AI/ML
    • Data Speaks for Itself: Placing Data Governance in Context
    • How to Find the Right Tweener for Your Organization
    • Predictive Maintenance in Industry 4.0
    • Making the Case for Data Enablement (Rather Than Data Governance)
    • The Impact of AI on the DBA
    • A Step Ahead: Data in Support of (Zero) Trust
    • The Art of Lean Governance: Need for an Integrated Governance Framework
    • Unique Threat Landscape of Digital Divide
    • Resilience in Data Services Through Mitigation and Prevention

  • July

    • All in the Data: Becoming a CDO When There is No Role
    • Raw Data as the Precursor to Everything Data
    • Data Professional Introspective: Conducting a DCAM Assessment
    • Best Practices for Migrating Applications to the Cloud
    • Real-Time Big Data Analytics
    • Estimating the Data Mining Tool Market
    • Where Data Governance Must Focus in AI Era
    • Five “Whys” of Data Cleansing
    • Crossing the Data Divide: Closing Gaps in Perception of Data as Corporate Asset
    • Collaboration Between Digital & Human Worlds
    • The Book Look: Non-Invasive Data Governance Strikes Again
    • O*NET Data Warehousing Specialist Survey

  • June

    • Effective Use of Generative-AI
    • Who Needs A Data Model Anyway?
    • NIDG Perspective: A Trusted Trainer for Data
    • Auditing Database Access and Change
    • Through the Looking Glass: The Sounds of Data, Part 2
    • Get Rid of Data Silos
    • A Holistic Approach to Govern Data
    • Data is Risky Business: Data Ethics and Governance in the Age of LLMs
    • Privacy, Security & Machine Learning
    • Data Centric Revolution: Is a Knowledge Ontology the Missing Link?
    • Lack of Proper Test Data Poses Bottleneck
    • Protect Data Without a Password

  • May

    • The Stranger Things of Data Governance
    • Eyes on Data: An Approach to Measure Data ROI
    • Mitigate Risks and Protect Sensitive Procurement Data
    • Current State Analysis of Your Data – Part 4 – Data Outcomes
    • Data Speaks for Itself: The Challenge of Data Consistency
    • Boost E-Commerce with Customer Verification
    • Features Every Data Catalog Needs
    • A Step Ahead: Data Fabric and Data Mesh – Similarities and Differences
    • Most Common Types of Data Breaches
    • The Art of Lean Governance: Achieving Enterprise Data Awareness
    • Data is a Big Component of Healthcare

  • April

    • A Framework for Understanding Data Consumers and Producers
    • Data Professional Introspective: Capability Maturity Model Comparison
    • Keys To Thriving As A Chief Data Analytics Officer – Key Tenets
    • Principles of Cloud Data Governance For Banks
    • Data Value Chain: EDM Block Framework – Levels 5 & 6
    • Considerations for MDM and Digital Transformation
    • All in the Data: Empower Stewards with a Data Governance Toolkit – Part 2
    • Keys to Thrive as a Chief Data Analytics Officer (CDAO) – Challenges
    • Michele Iurillo Interviews Bob Seiner on NIDG for DAMA Spain
    • Do We Expect Too Much or Too Little of AI?
    • Architecture For Cloud Based Processing
    • The Book Look: Technical Writing for Quality

  • March

    • Stakeholder Engagement for Data Governance Program Success
    • Data is Risky Business: I Want My ChatGPT
    • What is a Data Clean Room?
    • Data’s Role in Improving Customer Service
    • Sentiment Analysis To Connect With Customers
    • Data’s Gender Gap: What Data Goes Into the Products We Use?
    • ChatGPT and the Commoditization of Expertise
    • The Data-Centric Revolution: Zero Copy Integration
    • How Will Artificial Intelligence Impact Project Management?
    • Through the Looking Glass: Sounds of Data – Part 1
    • What Every Manager Needs To Know About Data Security
    • Advantages of Using Big Data in Healthcare

  • February

    • How Data Governance is Central to Effective Data Analytics
    • Measuring Your DBAs
    • Eyes on Data: The Elevated Role of Data Management and the CDO
    • Data Speaks for Itself: The Path Less Traveled
    • The Tower of Babble – Where Truth Goes to Die
    • How to Write a Data Management Plan
    • Helping Data Stakeholders Help Themselves
    • Machine Learning to Improve SEO Performance
    • Integrating & Analyzing the Medical Record
    • The Art of Lean Governance: Data Inventory Optimization
    • A Step Ahead: Federated Data Stores
    • A Data-Driven Customer Services Approach

  • January

    • All in the Data: Empower Stewards with a Data Governance Toolkit – Part 1
    • What’s Your Data Culture Plan for 2023?
    • Data Science for SaaS Companies
    • AI Trends Are Shaping Sales
    • IT Industry Has No Building Code
    • Data Value Chain: EDM Block Framework – Levels 3 & 4
    • Architecture for the Data Lake
    • Challenges of Working with Big Data
    • NoSQL and Multi-Model Database Use Cases
    • The Book Look: Breaking Bad with 3D Enterprise Systems
    • Data Professional Introspective: Data Provider Management – Part 3
    • Data Scientists and Big Data Disciplines

• 2022

  • December

    • Non-Invasive Data Governance – Considerations for 2023
    • Bold 2023 Data Predictions
    • The Public Sector Needs Data Governance
    • Data is Risky Business: Data is a Communications Skill
    • Protect Data With Pillars of Zero Trust
    • Data’s Gender Gap: What Am I Doing About It?
    • Data Trends to Watch in 2023
    • Key Components of a Data Sharing Platform
    • The Data-Centric Revolution: Detour / Shortcut to FAIR
    • Utilizing Consumer Data for Business Growth
    • Through the Looking Glass: Care of the Soul of Data
    • Data Governance Drives Outcomes In Healthcare

  • November

    • What Happens When Your Cyber Defenses Are Breached?
    • Best Dressed for Armageddon
    • The Art of Lean Governance: Governance Metadata Management
    • Modern Data Governance Key Components
    • Data Speaks for Itself: Waldo, Where are You?
    • The Impact of Artificial Intelligence on Investing
    • Data Stewards Should Get a Raise
    • The Evaporation of Privacy
    • Eyes on Data: The Path Ahead for Cloud Data Management
    • Sustaining Adaptive Oversight
    • Why You Should Care About Data Modeling
    • Tales & Tips from the Trenches: Data Catalog War Stories

  • October

    • Introduction to Data Technical Debt
    • Thoughts on Data Literacy & Data Quality
    • Should We Consider Banishing CIOs?
    • The Book Look: We The People (Playbook for Data Ethics)
    • Data Value Chain: Lego Framework – Level 2
    • Buyer Intent Data to Leverage Sales Growth
    • All in the Data: A Steward is a Steward
    • Why Data Quality Programs Fail to Deliver Results
    • How AI is Changing Cybersecurity
    • Data Professional Introspective: Data Provider Management – Part 2
    • Sizing the Sensor Data Analytics Market
    • Staff Augmentation Benefits IoT Projects

  • September

    • AI Meets Data Access Governance
    • Data’s Gender Gap: Healthcare’s Data Gap Is Still Open
    • Domain-Driven Development: Part 4
    • Data is Risky Business: It Takes a Village to Raise a Datum
    • The Role of Data Governance in Data Management
    • How Hybrid Cloud Security Contributes to Data Protection
    • A CDO Playbook for Driving Marketing Impact
    • The Data-Centric Revolution: OWL as a Discipline
    • Through the Looking Glass: Supply-Side Data Governance
    • How to Deal with CRM Challenges
    • Data Management Services Help Your Business
    • Avoiding Bad Data in Sales Cloud

  • August

    • Data Governance Keys to Success
    • Data Speaks for Itself: What Could Possibly Go Wrong?
    • Digital Sovereignty – Trust in the Internet of People, Places and Things
    • Tales & Tips from the Trenches: A Data Acumen Quick Reference
    • Domain-Driven Development : Part 3
    • Big Data Impact on Improving Healthcare Apps
    • Avoiding a Data Catastrophe
    • The Art of Lean Governance: Eliminating Waste Across the Data Factory
    • Domain-Driven Development: Part 2
    • Zen and the Art of Data Maintenance: All Data is Suffering (Part 2)
    • The Role of Artificial Intelligence in Data Privacy
    • Integrate Database Archiving and Recovery

  • July

    • All in the Data: The Same Difference of Data Governance and Data Management
    • Questions When Hiring for Data Governance
    • Creating a Vision for Data Integration Modernization
    • Demystifying Domain-Specific Data Governance
    • Data Value Chain: Lego Framework – Level 1
    • Preventing Continuous Integration Pipeline Leaks
    • Celebrating 25 Years of TDAN.com!
    • Safely Driving Infonomic Growth with Data Access Governance and Security
    • Get People to Be Data Stewards
    • The Book Look: The Data Path Less Traveled
    • Domain-Driven Development: Part 1
    • Data Professional Introspective: Data Provider Management – Part 1
    • All About Decentralized Cybersecurity

  • June

    • Disinformation, Governance and Trust
    • Data Mining Use Cases
    • Trends Data Leaders Should Anticipate
    • Data’s Gender Gap: A Data Equity Reading List
    • The Data-Centric Revolution: Headless BI and the Metrics Layer
    • How to Select a Big Data Database
    • Metadata is the Magic Behind Data Fabric
    • Are Data Lakehouses Secure and the Best of Both Worlds?
    • Through the Looking Glass: Suspending Judgement on Synthetic Data
    • The Cycle of Change
    • Knowing What Lies Beneath
    • Data is Risky Business: The Importance of Fundamentals

  • May

    • There is Only One Data Governance
    • A Complete Guide to Data Access Governance
    • Zen and the Art of Data Maintenance: All Data is Suffering (Part 1)
    • The Never-Ending To-Do List of the DBA
    • Data Speaks for Itself: Data Speaks as Product
    • How to Prevent Data Theft and Fraud
    • What I Learned from Executing Data Quality Projects
    • The Road to Secure Self-Service Analytics
    • The Art of Lean Governance: Go Lean and Stop Burning Cash
    • Autonomous Data Trust Score for Data Catalogs
    • Why DBAs Must Automate to Survive
    • Tales & Tips from the Trenches: Edge Computing Challenges and Strategies

  • April

    • What Makes a Data Element Critical? The Story of the CDE
    • Inmon Architecture Versus Kimball Architecture – Revisited
    • Data Governance Bottom-Up Approach is Alive
    • The Book Look: Collecting, Connecting, and Correcting the Dots
    • Big Data Analytics is Advertisers’ Best Weapon
    • Data Value Chain: Enterprise Data Management (EDM) Framework (Lego Version)
    • All in the Data: Governing Data Mesh and Fabric
    • What is the Cost of Poor Quality Data in Your CRM?
    • Data Management’s Next Frontier is Machine Learning-Based Data Quality
    • AI Optimization Increases Amazon Sales
    • Data Professional Introspective: What Good Data Look Like – Part 5
    • The Ultimate Work-From-Home Data Solution

  • March

    • Steps to Continuous Data Governance Improvement
    • Beyond Data’s Gender Gap: Equity Initiatives
    • Data Mesh and Unified Data Access Governance
    • Data Quality Is In the Eye of the Beholder
    • Data is Risky Business: Thinking the Unthinkable
    • Netflix has Innovated with Data
    • It Could Cost You Billions If You Have the Wrong Data Privacy Strategy
    • Big Data Helps Build Better Governance
    • Through the Looking Glass: The Context of Out-of-Tune Data
    • The Data-Centric Revolution: Incremental Stealth Legacy Modernization
    • Current State Analysis of Your Data – Part 3 – Data Culture
    • Enabling Personalized Experiences by Removing Data Duplicates

  • February

    • How To Accelerate Data Democratization
    • The Data Behind Love
    • Data Speaks for Itself: Data Littering
    • Zen and the Art of Data Maintenance: Don’t Integrate, Don’t Separate – Indegrate
    • Why Does Multi Domain Master Data Management Matter?
    • Developing & Processing Real-Time Data Stream Applications
    • How to Be a Data Shaman
    • The Art of Lean Governance: Root Out Waste in Data Reconciliation
    • Current State Analysis of Your Data – Part 2 – Data Freshness
    • Tales & Tips from the Trenches: The Data Catalog
    • Business Leaders Need to Know About Data Modeling
    • Data Inventory is Essential for GDPR and Privacy Compliance

  • January

    • All in the Data: Ways to Improve Your Data
    • How Chief Data Officers Overcome Key Challenges
    • The Hard Truth of Data Accuracy
    • Current State Analysis of Your Data – Part 1
    • Things the Database Administrator Hears
    • Data Value Chain: Analysis-Enable Data Products
    • What is Privacy Engineering?
    • Data Governance is a Team Sport
    • How a Data Catalog Enables Data Democratization
    • The Book Look: Data Literacy
    • Big Data Opportunity in Manufacturing

• 2021

  • December

    • Data Mesh and Data Fabrics
    • Data Science Increases E-Commerce Profitability
    • Data’s Gender Gap: Marginalized By Data Collection
    • Data is Risky Business: Data Quality Discussion about Data Ethics
    • DB2 and Nulls are Much Ado About Nothing
    • Powering Self-Driving Cars with Data Annotation
    • DBA Success Requires More Than Tech Ability
    • The Power of the Subject Matter Expert (SME)
    • Cloud Data Governance
    • Top Mistakes in Data Migration Projects
    • Through the Looking Glass: Data Discovery, Learned Machines, and Strange Loops
    • The Data-Centric Revolution: Data-Centric Accounting

  • November

    • The Long Road Ahead of the Data Economy
    • Latest Trends in Cybersecurity
    • AI Impact on Business Operations and Productivity
    • Zen and The Art of Data Maintenance: Ways Data Pros Can Help the Environment
    • Data Management 20/20: Governing Data from Business Motivation to Behavior
    • Database Security Best Practices
    • Why Your Data Governance Strategy is Failing
    • Modern Database Management Best Practices
    • The Art of Lean Governance: Attack Bureaucratic Bloat in Data Governance
    • Tales & Tips from the Trenches: Data Movement in Edge Computing
    • B2B Customer Data Management
    • Using AI to Curb COVID

  • October

    • All in the Data: Data Governance Bill of “Rights” Revisited
    • What Is Data Science, Really?
    • You Needed to Use External Data Yesterday
    • Analytics as a Service (AaaS)
    • Building Data Domains is Key to Sharing Data
    • Practical Points from the DGPO: Supportive Data Governance for EUC
    • The Data Marketplace is On the Rise
    • Have We Forgotten the Purpose of Technology in Business?
    • Data Access Governance Requirements for Data Science
    • The Book Look: The Enrichment Game
    • Data Management is a Digital Transformation Foundation
    • Data Professional Introspective: What Good Data Looks Like – Part 4

  • September

    • Differences Between Data Lake and Data Warehouses
    • Popular Myths About AI
    • Your Next Data Skill is Stakeholder Empathy
    • Data’s Gender Gap: Keeping Ourselves in Check
    • Data is Risky Business: Return to Sender
    • Data Modeling for Quality
    • Data Quality Problems Everywhere You Look
    • Ownership of Vocabulary vs. Ownership of Data
    • Through the Looking Glass: Caught in the Web of Data
    • The Data-Centric Revolution: Avoiding the Hype Cycle
    • Differences Between Data Management and Data Governance
    • Perception Manipulation in Infographics

  • August

    • How Data Cleansing Helps Predictive Modeling Efforts
    • Zen and The Art of Data Maintenance: Does Data Alone Inspire Environmental Actions?
    • Business Pace Contributes to Data Challenges
    • Manufacturing Analytics Will Transform the Industry
    • Data Centralization in Marketing
    • DAMA International Community Corner: August 2021 – A Wrap for Now
    • Data Management 20/20: Systemization of Data Governance
    • None Shall Pass! Are Your Database Standards Too Rigid?
    • How to Win New Business with External Data
    • Big Data Modeling Improves Business Intelligence
    • Tales & Tips from the Trenches: Types of and How to use Edge Computing
    • Artificial Technology Innovations in Healthcare

  • July

    • All in the Data: Connecting Data to Revenue
    • Converting Big Data into Actionable Intelligence
    • What Does Cloud Forensics Mean for Privacy?
    • Metadata Improves Security, Quality, and Transparency
    • Data Professional Introspective: What Good Data Looks Like – Part 3
    • Machine Learning is Replacing Music Mastering
    • The Key Role of the Data Governance Partner
    • AI Transforming Unstructured Data Governance
    • Can We Reduce the Risks of Artificial Intelligence?
    • Practical Points from the DGPO: Tying Data Strategy to Corporate Strategy
    • Data Management Enables eCommerce Success
    • The Book Look: Data Model Storytelling

  • June

    • Data Governance as a Puzzle
    • Data’s Gender Gap: The Burden of Too Much Proof
    • What Exactly is External Data?
    • Data is Risky Business: The Darker Side of Data Monetization
    • Common Quality Assurance (QA) Problems
    • Improve Data Governance with These Data Modeling Tips
    • Importance of Data Science in 2021
    • Through the Looking Glass: Data Owners and Other Fallacies
    • First Rule of Data Storytelling
    • Why Data Quality Matters
    • The Data-Centric Revolution: Fighting Class Proliferation
    • Is Artificial Intelligence a Problem or an Opportunity?

  • May

    • Achieving Natural Language Processing Through Data Training
    • Data Science Can Help Business Growth During COVID-19
    • Stages and Types of Data Models
    • Tales & Tips from the Trenches: Demystifying Edge Computing
    • Is Data an Asset in Real Estate?
    • DAMA International Community Corner: May 2021 Announcements
    • Data Governance is a Crucial Part of Your Business Strategy
    • The 3 Pillars of Effective BI Governance
    • Zen and the Art of Data Maintenance: Feeling is Information
    • Data Management 20/20: The Unacceptable Cost of Bad Data – Part 2
    • The Changing Database Landscape
    • How Contextual Data is Driving the Future of Telehealth

  • April

    • All in the Data: Elements of a Data Strategy
    • Building a Data Governance Business Case
    • Detecting Hidden Data Risks
    • Is Junk Metadata a Data Catalog Risk?
    • Using Predictive Analytics to Improve Employee Safety
    • The Book Look: Quick Retrospect
    • Can You Have Both an Offensive vs. Defensive Data Strategy?
    • Metadata-Driven Data Warehouses are Ideal
    • Machine Learning Factors for Project Managers
    • Practical Points from the DGPO: An Introduction to Information Risk Management
    • Using Data and Technology to Increase Employee Productivity
    • Data Professional Introspective: What Good Data Looks Like – Part 2

  • March

    • A Data Governance Self-Assessment Test
    • What is a Data Catalog? Value, Benefits and Features
    • Data is Risky Business: The Next Normal
    • Data’s Gender Gap: Gender and Infrastructure
    • Governing Agile Teams – Part 2 of 2
    • How Artificial Intelligence is Expected to Change the Development Process
    • Non-Invasive Data Governance Q&A
    • Through the Looking Glass: Data Stewards in the Realm of Gondor
    • Data Gravity and Cloud Computing
    • Agile Business Facilitated by Information Architecture & SAFe
    • The Data-Centric Revolution: The Role of SemOps (Part 2)
    • Data is a Crucial Part of Any Marketing Strategy

  • February

    • Predictions from 2020; for 2021
    • Technologies that Could See Significant Growth
    • Data Governance Checklist for Auditing Reports
    • New Approach to Reference Data Management in Pharma
    • Data Management 20/20: The Unacceptable Cost of Bad Data – Part 1
    • DAMA International Community Corner: 2020 Reflections and 2021 Resolutions
    • Data Governance Benefits and the Trifecta of People, Process, and Technology
    • Zen and The Art of Data Maintenance: Data, Politics, and Polarization
    • Governing Agile Teams: Part 1 of 2
    • Tales & Tips from the Trenches: Extend the Impact of Enterprise Data through Partnerships
    • Big Data’s Role in Improving Product Lifecycle Management
    • Establish a Profitable Quality Program in 2021

  • January

    • The Current Explosion of Data Catalogs
    • Storing Data in the Cloud
    • Partly Cloudy with a Scattered IT Environment
    • Data Professional Introspective: Enterprise Data & EDM Strategy Pt 1
    • Are Your Data Skills Up to Date?
    • Practical Points from the DGPO: Three Key Aspects of Data Governance
    • All in the Data: Never a “Right” Time for Data
    • Automating Metadata Management Through Data Catalogs
    • The Book Look: Data Storytelling for Data Management
    • The Lifecycle of Data
    • What’s the Data on Healthcare in 2020 & Beyond?
    • The Tribal Knowledge Problem

• 2020

  • December

    • Data’s Gender Gap: How to Address Data’s Gender Gap
    • Today’s Lens of Information Governance (IG)
    • The Business Case for a Common Language – Not “If,” but “What and When?”
    • Building Trust with Centralized Data Access
    • Make An Impact: Why “I Didn’t Have Time” is Always a Lie
    • Common Data Management Mistakes to Avoid
    • A Corporate Glossary Case Study
    • Expanding Role of Data Governance, Metadata Management, and Data Quality
    • AI is Innovating the Future of Cybersecurity
    • Open Data & Democracy
    • The Data-Centric Revolution: The Role of SemOps (Part 1)
    • Data is Risky Business: The Importance of Fundamentals

  • November

    • Why Your Startup Needs Data Science
    • The Role of Data in Politics
    • Zen and the Art of Data Maintenance: Data ‘Mine’ing and Universal Data Semantics
    • A Beginner’s Guide to NoSQL
    • Well-Publicized Data Breaches of 2020
    • DAMA International Community Corner: November 2020 Update
    • Where Does Data Governance Fit into a Data Strategy (and other important questions)?
    • Tales & Tips from the Trenches: In Defense of the Data Catalog
    • How to Get Your “Data” Program Approved
    • Data Management 20/20: Building a Data Modeling Center of Excellence
    • Mobile Movement and Location Data
    • Boost Business Growth With Data Analytics

  • October

    • Everything is Big Data
    • Keys to Successful Data Governance
    • Data Shows Lower Income Individuals May be at Higher COVID Risk
    • Data Professional Introspective: EDM Education – Part 2 When & How
    • Knowledge Graphs vs Property Graphs – Part III
    • Practical Points from the DGPO: Exciting New Changes for the DGPO
    • All in the Data: Data is Everybody’s Job
    • CDO Questions to Ask About Data Protection
    • The Role of a Data Steward in a Modern Enterprise
    • The Book Look: The CDO Journey
    • Digital Twin at a Glance – Revolutionizing the Industrial Domain
    • Achieve B2B Goals with Email Marketing Automation

  • September

    • Who Should Own Data Governance?
    • Automating Your Corporate Data Estate
    • Data’s Gender Gap: The Roots of Data’s Gender Gap
    • Make An Impact: The Data Catalog is a 1980’s Solution for 2020’s Problems
    • Knowledge Graphs vs. Property Graphs – Part II
    • What is a Data Management Platform?
    • The Gamification of Data Governance
    • The Data Organization Spectrum
    • Data is Risky Business: Business of Data and Book of Five Rings
    • Getting the Most Out of Data
    • The Data-Centric Revolution: Data-Centric vs. Centralization
    • Voice Banking and Information Governance

  • August

    • Experimentation in Data Science
    • Data Management 20/20: Anatomy of a Business Glossary Definition
    • Better Estimates Through the Art of Guesstimation
    • Knowledge Graphs vs. Property Graphs – Part I
    • Zen and the Art of Data Maintenance: What’s the Truth About the Environment?
    • Data Is Changing Healthcare
    • Build or Buy Data Management
    • Approaches to Secure Data in the Cloud
    • Information Governance Goes Beyond Record Keeping
    • Data Distancing – What and Why?
    • Tales & Tips from the Trenches: Data Catalogs are a Landmark
    • DAMA International Community Corner: August 2020 Update

  • July

    • All in the Data: The Data Will Not Govern Itself
    • What DBAs Should Do Before Taking a Vacation
    • The Mainframe is a Modern Platform
    • Relationships Are Not Verbs–Part One
    • Data Professional Introspective: EDM Education – Part 1 Why, What & Who
    • Using IoT for Machine Monitoring
    • How to Convince Stakeholders That Data Governance is Necessary
    • The New Reality – Data or Bust
    • Using Data Privacy to Scale Up Your Governance Strategy
    • The Book Look: New Book on the Data Catalog
    • Data Democratization Through Self-Service BI
    • Practical Points from the DGPO: Celebrating Data Governance Success

  • June

    • Data Security in the Time of Remote Workers
    • Don’t Buy Data – Invest In It
    • The Data-Centric Revolution: The Sky is Falling (Let’s Make Lemonade)
    • Data’s Gender Gap: Women’s Health at Risk
    • Coronavirus Response and Shadow IT Test Information Governance
    • Data Warehouse Teams Adapt to Be Data Driven
    • Data is Risky Business: The Data Crisis Unmasked
    • Make An Impact: The Time is Now to Become a Data Leader
    • Information Governance, IT Governance, Data Governance – What’s the Difference?
    • Towards Data Governance’s 4th Era – Part III – Providing the Structure for Invention
    • Predictions for Data Science and AI
    • How AI Will Save Us from the Coronavirus

  • May

    • Zen and the Art of Data Maintenance: Being Zen With Coronavirus Data
    • Data Culture Issues and How to Fix Them
    • IoT and Data Analytics Benefit Companies
    • Data Modeling and Database Design
    • How to Develop a Sustainable Digital Platform
    • DAMA International Community Corner: May 2020 Update
    • Benefits of Ethical Hacking
    • Data Management 20/20: Data Governance Challenges in a Digital Society
    • How to Centralize Your Data
    • Becoming a Data-Driven Company
    • Tales & Tips from the Trenches: Identifying the Right Graph Database – Pt 4
    • Real-Time BI for Customer Retention

  • April

    • Truth in Data – Buyer Beware
    • Data Professional Introspective: Piloting the Plane
    • Towards Data Governance’s 4th Era – Part II
    • Protect Yourself From Data Breaches
    • Converting Customers Through cXML
    • The Book Look: The Rosedata Stone
    • All in the Data: My, My, Hey, Hey – The Value of Data is Here to Stay
    • Information Governance in an Era of Uncertainty
    • Developing and Adopting a Common Language
    • COVID-19 Research Database Available
    • Practical Points from the DGPO: Things to Know About Stewardship
    • What Big Data Can and Cannot Do

  • March

    • Data Starvation and Your Data Metabolism
    • The Data-Centric Revolution: Report From the Front Lines
    • Taking the Data Blinders Off
    • Data is Risky Business: Data Literacy is Not Just About Shiny Toys
    • O*NET Call to Action – Data Warehouse Specialist Role
    • AI & Machine Learning Can Solve Data Management Problems
    • The Data Catalog Has Risen
    • Stop Companies From Harvesting Your Data
    • Data’s Gender Gap: Endangers Half of the Population
    • Make An Impact: Hidden Reasons Why Your Data Analysis Has No Value
    • Why Disciplined Agile?
    • Data Cleansing Vs. Data Enrichment – What is the Difference?

  • February

    • Recognizing and Treating “Tableitis”
    • Complicated vs Complex Problems
    • Data Management 20/20: The Trinity of the Business Glossary
    • Differences Between ‘Available’ and ‘Accessible’
    • DAMA International Community Corner: Update
    • Cloud-Based Data Mapping Tools
    • The Antidote is Facts – Facts Require Data
    • Data’s Gender Gap is Killing Women
    • Zen and the Art of Data Maintenance: Big Data, More Data, BIG Issue
    • Toward Data Governance’s 4th Era
    • Tales & Tips from the Trenches: Two Types of Graph Databases
    • DG Winter Conference 2019 Takeaways

  • January

    • Defeat Your Data Demons
    • Viable Smart Cities Require Data Governance
    • Requirements for Data Governance
    • Making CRISP-DM Work for Embedded Analytics
    • The Book Look: Continuous Innovation
    • All in the Data: Data Governance Made Easy
    • Practical Points from the DGPO: Dawn of Self-Service BI Governance
    • Metadata is Like Body Language
    • Understanding LIDAR Data and Applications
    • Tips for a Data Backup Plan
    • Big Data Shapes E-Commerce

• 2019

  • December

    • Data Predictions for the Next Decade
    • 2020 AI Predictions
    • Challenges of Agile Project Management
    • Data is Risky Business: The Lure of the “Shiny”
    • Business Glossary and Metadata: When a Data Catalog Product is Not a Data Catalog
    • Data Architecture Movements in 2020
    • Start Thinking About DataOps
    • The Data-Centric Revolution: Semantics and the DAMA Wheel
    • Statistics Changing Marketing Strategies
    • Make An Impact: Create More Value with Data Curation
    • Contrasting Power BI & MSBI
    • Predictive Analytics for Mobile App Dev

  • November

    • You Can’t “Cherry Pick” Agile Projects
    • Data Management 20/20: Rationalizing Complex Business Terms
    • Data Breaches are Pervasive and Costly
    • Bridging the Digital Divide
    • Get More Value Out of Big Data
    • DAMA International Community Corner: DAMA International Update
    • One Data Governance for All
    • Zen and the Art of Data Maintenance: People Silos Cause Data Silos
    • Tectonic Shifts in Data and Analytics
    • Use Big Data to Make Decisions at Meetings
    • Data Leadership – Algmin / Dataversity Book Review
    • Tales & Tips from the Trenches: Distinguish Graph DBs from Other DBs

  • October

    • All in the Data: What Makes a Data Steward?
    • Strategies High-Performing Brands Use to Communicate Data
    • Data Professional Introspective: Why You Can’t Create an EDM Strategy
    • Excerpt from Data Leadership – Stop Talking About Data
    • Considerations Before Adopting SaaS
    • Java And Data Science – A Bond Made In Heaven
    • You Need a Better Data Management Solution
    • Principles for the Data-Centric Paradigm – Part 2
    • Practical Points from the DGPO: Sustaining Data Governance
    • The Difference Between Open Data and Public Data
    • Employing IoT to Boost Business
    • The Book Look: LeadAbility – Transforming the Way We Live and Work Together

  • September

    • Data is Risky Business: Group Think and the Man Behind the Curtain
    • Convert From Big Data to Smart Data
    • The Unfolding of the Data-Centric Paradigm – Part 1
    • Conceptual Modeling Requires Conceptual and Critical Thinking
    • Cloud Computing to Make Noise in 2020
    • Business Glossary and Metadata: Small Teams Data Governance
    • Common Data Governance Challenges
    • How Data Strategy and Machine Learning Intersect
    • The Data-Centric Revolution: Toss Out Metadata That Does Not Bring Joy
    • Steps to an Effective Data Governance Structure
    • Make an Impact: Data Governance’s Missing Piece
    • Data Ownership Considerations

  • August

    • Introduction to Blockchain for DBAs
    • Lean Data Governance Strategies
    • Data Management 20/20: Business Glossary Best Practices
    • Tips for Gathering Business Intelligence
    • AI in Web Development
    • DAMA International Community Corner: Updates from DAMA-I
    • Deep Learning Can Make a Difference
    • The Case of Data Democratization
    • Zen and the Art of Data Maintenance: Situational Fluency in Data Management
    • Tales & Tips from the Trenches: How to Choose the Right Graph Database
    • AI and BI Are the New Digital Marketing Tools
    • Cloud Computing for Startups

  • July

    • All in the Data: Calm Management’s Fears About Data Governance
    • Data Professional Introspective: Failing to Plan is Planning to Fail
    • Descriptive Statistics and Data Visualization
    • Broken Data: What You Do Not Know Will Hurt You – Part 2
    • Challenges Facing CIOs and IT Leaders
    • Insights from the 2019 DGIQ Conference
    • The Non-Invasive Data Governance Framework – The Details
    • The Book Look: The Elephant in the Fridge
    • Database Administration Impacted by the Connected Economy
    • Demystifying Regulatory Guidelines
    • Big Data Can Do Wonders for Your Business
    • Practical Points from the DGPO: You Can Be Successful in Data Governance

  • June

    • The Non-Invasive Data Governance Framework – The Levels and Components
    • Make an Impact: Find the Angry People
    • Data Management Strategy in the Age of 5G
    • Broken Data – What You Don’t Know Will Hurt You – Part 1
    • Business Glossaries and Metadata: Data Governance May Require a Village
    • Social Data for Your Digital Marketing Campaign
    • The Non-Invasive Data Governance Framework – The Framework Structure
    • Data is Risky Business: The Ethics Revolution in Information
    • The Data-Centric Revolution: Lawyers, Guns and Money
    • We Need Data Ethics Now
    • The Way Product Managers Save Money
    • Game-Changing Data Types for Your Business

  • May

    • To Own or Not to Own Data
    • Understanding Data-Driven Marketing
    • Tales & Tips from the Trenches: Help the Fed Use Data as an Asset
    • Microservices as Enterprise Software’s Future
    • Critical IT and Business Issues to Consider
    • DAMA International Community Corner: Announcements & New Chapters
    • Data Governance Roles and Responsibilities
    • Zen and the Art of Data Maintenance: STOP !!! The Crucial Step In Data
    • Data Management 20/20: Connecting the Data
    • Dark Clouds on BI Horizon
    • Barriers to Becoming an AI-Centric Company
    • DB Pros Need to Know Cloud Migration

  • April

    • All in the Data: CDOs Should Be Asking “How” … and Not “Why”
    • Big Data Hadoop vs. Traditional RDBMS
    • Data Professional Introspective: Data Architecture and the Role of Business
    • Agile vs. Lean Project Management
    • Artificial Intelligence Hope – Reinvent the ‘Broken’ Physician-Patient Relationship
    • How BI Saves Lives and Money
    • Data Dictionary vs. Business Glossary
    • The Book Look: Navigating the Labyrinth – Exec Guide to Data Management
    • Automating Bureaucracy
    • Common Data Modeling Mistakes and Their Impact
    • Practical Points from the DGPO: What Data Governance Is and Is Not
    • Essential Tips for Lean Startups

  • March

    • Your Metadata Will Not Govern Itself
    • Data is Risky Business: Call for Compulsory Ethics
    • All in the Data: Negative Attitudes and the Four Horsemen of the Data Apocalypse
    • Big Data Influence on Restaurants and Catering
    • Trends in Data Management and Analytics
    • What You Should Know about CRM Testing
    • Tips to Create Effective Data Quality Rules
    • A Predictor of Data Governance Success
    • Natural Language Processing in Healthcare
    • Make an Impact: Data Governance and the Lost Art of Enterprise Architecture
    • Using Big Data to Create Futuristic and Secure Mobile Apps
    • The Data-Centric Revolution: The 1st Annual Data Centric Architecture Forum

  • February

    • Ways to Prevent Big Data Failure
    • Moving from Data Governance 1.0 to 2.0
    • Embedded BI in Digital Marketing
    • Tales & Tips from the Trenches: Agile Data Transformation using MDOX
    • DAMA International Community Corner: DAMA Update
    • Project Management Advice from the Masters
    • Data Management 20/20: Build a Managed Data Design Program
    • Ask the Data Governance Coach: Data Governance over a Data Lake?
    • Big Data Analytics in Healthcare
    • The Ballot Data Model – Part 2
    • Ways Big Data Benefits Marketing
    • Managing Global Development Teams

  • January

    • Big Data Requires Bigger Hardware
    • The Ballot Data Model – Part 1
    • Data Professional Introspective: How to Tackle a Data Quality Strategy
    • Practical Points from the DGPO: Celebrate 2019
    • Get an AI Education
    • Advanced Data Analytics Transform Business
    • All in the Data: Achieving “Good Data” – Pt 3 Improving Data Usage
    • Using Big Data for Retail E-Commerce
    • Artificial Intelligence Predictions for 2019
    • Business Glossary or Glossary for Business?
    • The Book Look: Emily’s Rebellion – Better Transactional Services for the Digital Age
    • Data Governance Winter Conference Review

• 2018

  • December

    • Data Management is Real; And Really Needed!
    • Common Data Analytics Mistakes
    • Data is Risky Business: An Unholy Trinity – Ethics, Risk, and Uncertainty
    • Business Glossaries and Metadata: Data Governance and Glossary Readiness
    • Is GDPR a Grinch?
    • Advantages of Remote Project Managers
    • Look Out for These Six Data Mistakes
    • Make an Impact: Data Monetization Problems
    • The Future of Analytics – Six Predictions
    • The Data-Centric Revolution: Implementing a Data-Centric Architecture
    • Data Visualization Mistakes to Avoid
    • Agile Project Management with Jira

  • November

    • The Impact of Big Data on Marketing
    • Under Investing In Preference Management Costing Customers
    • Data and Trending Technologies: Role of Data in Digital Thread
    • Keys to Developing a Sustainable Supply Chain
    • Collaborative Information Governance Framework
    • DAMA International Community Corner: Welcome to the New DAMA Corner
    • Ask the Data Governance Coach: How Long Will My Data Governance Initiative Take?
    • Monetizing Your Data Through Customer Intelligence
    • Beware of the Impending Data Blizzard
    • Does Database or Version Matter?
    • Automating Data Management and Governance through Machine Learning
    • Tales & Tips from the Trenches: A Tool for Agile Data Transformation (MDOX)

  • October

    • Databases Do Not Build Themselves
    • Improve Data Governance in Your Data Models
    • Practical Points from the DGPO: I Need A Data Governance Therapist
    • The Basics of Project Management
    • The Book Look: Achieving Buzzword Compliance
    • Collaborative Information Governance
    • All in the Data: Time for a Data Intervention
    • Data Governance Metrics Tracking
    • Data Governance’s Role in Ensuring AI’s Future
    • Is Big Data the Scapegoat?
    • MDM Data Quality Standards

  • September

    • Fix the “Data Situation”
    • Data is Risky Business: Situational Modifiers and the Myth of “Data Governance Ethics”
    • Business Glossaries and Metadata: Metadata Strategy and the Business Glossary
    • Applying Top-down, Big-Picture Models to Data Vault Part 2
    • Data Governance is a Hot Topic (Data Modeling Too)
    • Collaborative Information Governance Framework
    • It’s Time to Say Goodbye to Bob
    • Role of Standards in Managing Master Data Quality
    • Why Data Virtualization is Important
    • The Data-Centric Revolution: Governance in a Data-Centric Environment
    • Make an Impact: Three Words to Irrelevancy
    • Dynamic Network Processing of Hierarchical Data Structures

  • August

    • Using Big Data to Improve Learning
    • Data and Trending Technologies: Role of Data in Digital Twin Technology
    • Applying Top-Down, Big-Picture Models to a Data Vault Part 1
    • Governments Start to Adopt Blockchain
    • Interview with InfoGovWorld’s Robert Smallwood
    • DAMA International Community Corner: DAMA Community Update
    • Every Data Picture Tells a Story
    • The Marriage of Metadata and Data Governance
    • Machine Learning is Transforming Logistics
    • Ask the Data Governance Coach: A Lean Approach to Data Governance
    • Tales & Tips from the Trenches: Agile Data Summary
    • Many Flavors of DGIQ – 2018 Conference Recap

  • July

    • All in the Data: Achieving “Good Data” – Pt 2 Improving Data Production
    • Data-Driven or In Disguise
    • Big Data in Our Daily Life
    • Why ISO Certification Is Worth It
    • The Book Look: Controlling the Chaos
    • How to Do Top-Down, Big-Picture Modeling – Part 2
    • Data Culture Through Continuous Improvement
    • Use Data to Improve Your Business
    • Data Professional Introspective: Organizational Factors Impacting EDM
    • Paying Down Semantic Debt
    • Practical Points from the DGPO: For Professionals, By Professionals
    • When You Wish Upon a Star Schema

  • June

    • Protect Your Data with Data Governance
    • Data is Risky Business: Ethics at the Core of a Data-Driven World
    • The Data-Centric Revolution: Data-Centric and Model Driven
    • You Need a Document Management Solution
    • Role of Blockchain In Supply Chain Management
    • COSO ERM vs. ISO 31000
    • Questions Metadata Can Answer
    • 8 Ways to Discover Personal Data for GDPR
    • Business Glossaries and Metadata: Using the Glossary to Drive Your Quality Strategy
    • Make an Impact: Data Team Building
    • Where Crypto & Universal Basic Income Meet
    • Why Do Top-Down Big-Picture Modeling? Part 2

  • May

    • Is Your Senior Leadership Losing Interest?
    • The Tao of NoSQL Data Modeling
    • The Value of Clean Customer Data
    • Why Do Top-Down Big-Picture Modeling? Part 1
    • Data and Trending Technologies: Data and Internet of Things
    • DAMA International Community Corner: Enterprise Data World 2018
    • A Lesson for Data Pros – Agility is for Everyone
    • The RDBMS is Dead
    • Is a Lack of Data Governance Cancerous?
    • Why Agile is Like Football: Chickens and Pigs
    • Tales & Tips from the Trenches: Agile Data Warehousing
    • Ask the Data Governance Coach: Do We Have to Call It Data Governance?

  • April

    • All in the Data: Achieving “Good Data” – Pt 1 Improving Data Definition
    • Introduce Agile Environments for Your BI Team
    • Blockchain as the Answer to Big Data Barriers
    • Where Does Semantic Debt Come From?
    • Data Professional Introspective: Do This to Be the Toast of the Town
    • How to Evaluate a DBA Job Offer
    • Data Modeling is (Still) Data Governance
    • Pushing the Analogy – Data Lake vs. Data Swamp
    • Preparing for GDPR
    • Practical Points from the DGPO: Data Governance Best Practices
    • The Book Look: Blockchainopoly
    • Why Data Scientists are Interested in Blockchain

  • March

    • Data is Like Contaminated Water
    • Business Glossaries and Metadata: Business Glossary Value
    • Non-Relational Databases Have Relationships Too
    • Data is Risky Business: I’m a Doctor, Jim …
    • Improving Patient Data Quality, Part 2: What is Evaluated in the PDDQ Framework
    • Thoughts on Semantic Debt
    • The Data-Centric Revolution: Data-Centric vs. Application-Centric
    • The Data Forecast: Data Wrangling Basics
    • Improving Patient Data Quality, Part 1: Introduction to the PDDQ Framework
    • Features of an Effective Disciplined Agile Coach
    • When is Your Data Safe?
    • The Importance and Problems of Language For Information

  • February

    • Your Company Has the Flu – The Data Flu
    • Unlocking the Secrets of Your Call Center
    • Data Lakes Can Be Like the Library of Babel
    • Why Agile is Like Football
    • Data and Trending Technologies: Artificial Intelligence Is All About Data
    • DAMA International Community Corner: A DAMA Update
    • A Day in the Life
    • Ask the Data Governance Coach: Role of the DG Team in Issue Remediation
    • A Universal Problem in Data Management – Classification
    • Transforming Logistics Using Big Data
    • Tales & Tips from the Trenches: Data Model Patterns for Agile Projects
    • Data Governance Toolset Disruption is Coming

  • January

    • Data Professional Introspective: Coming in From the Cold
    • Data Science is Sexy
    • Data Warehousing in the 21st Century
    • The Book Look: After Action Review – Continuous Improvement Made Easy
    • Using Standards to Govern Data
    • DG Winter 2017 Review – Data Governance in the Digital Era
    • Everybody is a Data Steward; Get Over It!
    • The Agile Enterprise Coach
    • It’s All in the Data: Go Jump in a Lake
    • Don’t Neglect Database Performance
    • Practical Points from the DGPO: Data Governance Lessons From the Kitchen
    • Using Data to Save the Planet

• 2017

  • December

    • Hearing the Voice of Your Customer
    • Non-Invasive Data Governance A to Z
    • Active Information
    • Data is Risky Business: Are We the Bad Guys?
    • Business Glossaries and Metadata: The Business Glossary & GDPR
    • Ways That Big Data Impact HR
    • What Alice in Wonderland Can Teach Us About Data Analytics
    • Law of Unintended Consequences
    • The Data-Centric Revolution: Data-Centric’s Role in the Reduction of Complexity
    • Designing Data Governance
    • The Data Forecast: Don’t Be Chris Burke
    • Leveraging Big Data in a Small Business

  • November

    • Saving a Failing Data Governance Program
    • MDM Requires These Data Governance Activities
    • Data and Trending Technologies: Data in Blockchain Technologies
    • Is Data Governance a Marathon or a Sprint?
    • DAMA International Community Corner: DMBOK 2 Recap
    • Data is the New Bacon
    • Is Information Overload a Myth?
    • Too Many Meanings, Not Enough Words
    • Questions About Data Governance
    • The Data Whisperer
    • Ask the Data Governance Coach: Why is Data Governance Important For Everyone?
    • Tales & Tips from the Trenches: Agile Principles in Data Projects, Part 3

  • October

    • It’s All in the Data: Four Horsemen of the Data Apocalypse
    • Critical Thinking and Data Quality
    • Do You Need to Audit Your Data?
    • Data Governance – The Army Way
    • Practical Points from the DGPO: Who’s Who in Data Governance
    • Semantic Hierarchical Processing Advancements
    • Data Warehousing is Still Alive
    • Guidelines for Becoming a Data Steward
    • Death by Spreadsheet
    • Starting Data Governance from Scratch, Again
    • Data Professional Introspective: Be a Savvy and Confident Data Steward
    • The Book Look: All About DMBOK2

  • September

    • Don’t Do Data Governance If …
    • Disciplined Agile Data Management
    • Road to Enterprise Architecture Success
    • Business Glossaries and Metadata: Glossaries, Metadata & MDM
    • Data is Risky Business: What Business R U In?
    • Growing Importance of Data Democratization
    • The Data Forecast: Data Quality is Not What We Think
    • A Disciplined Agile Mindset for Data Management
    • What Does Hidden Data Really Cost?
    • The Data-Centric Revolution: The Core Model at the Heart of Your Architecture
    • Getting Big Data Right: A Checklist to Evaluate Your Environment
    • Database Standards Can Be a Problem

  • August

    • Implement Data Governance Using the Hammer or the Soft Cushion
    • Data Architecture, Where Go’est Thou?
    • What’s the Difference between JSON and XML?
    • Data and Trending Technologies: Data’s Role
    • High-level Intro to the Corepula Method of Data Modeling
    • DAMA International Community Corner: DAMA is Winning
    • What Does It Mean to “Govern Data”?
    • Modernizing Data Architecture
    • Is Data Quality All or Nothing?
    • Self-Service BI and the Future of Your Business
    • Ask the Data Governance Coach: All About Data Governance Committees
    • Tales & Tips from the Trenches: Agile Principles in Data Projects, Part 2

  • July

    • It’s All in the Data: Everybody is a Data Steward, Get Over It!
    • Information Security to Justify Data Governance
    • Three Levels of Models Versus Business
    • Criclytics: Making Decisions in Cricket
    • Practical Points from the DGPO: Take Me Out to the Data Governance Ballgame
    • Impressions of the 2017 DGIQ Conference
    • The Data Governance Bill of “Rights”
    • Don’t Hire a Developer, Hire a Data Scientist
    • Quantifying the Impact of Data Projects
    • Six Ways to Turn Your Data into Profits
    • Data Professional Introspective: Know Thy Enterprise Data
    • The Book Look: Data Strategy and the Enterprise Data Executive

  • June

    • Celebrating 20 Years of TDAN.com
    • Complete Set of Data Governance Roles & Responsibilities
    • Autonomics to Modernize DB Administration
    • Data is Risky Business: Promoting DG Principles
    • The Duck-Billed Platypus, or How Strict Data Hierarchies Can Choke You
    • Business Glossaries and Metadata: DG Adoption, the Bur Under My Saddle
    • Recursive Queries for Hierarchical Data Retrieval
    • You Cannot Manage Data from Your Cubicle!
    • Change Data Habits Before it is Too Late
    • The Data Forecast: There is No Such Thing as the “Private” Cloud!
    • The Data-Centric Revolution: Gaining Traction
    • SQL Drawing Blanks? It’s NULL a Surprise!
    • Introduction to Agile Project Management, Part 4

  • May

    • How is Non-Invasive Data Governance™ Different?
    • The Data Manifesto: A TDAN.com Interview
    • The Digital Transformer: Towards a New Digital Body of Knowledge
    • Data Does Not Matter
    • DAMA International Community Corner: EDW 2017 – The DAMA-I Perspective
    • Guidelines for Building World-Class Business Glossaries: Aligning Multiple Definitions
    • Understand Relational to Understand the Secrets of Data
    • Align Data Governance with Board Governance Imperatives
    • Benefits of Modeling Apply to NoSQL
    • Tales & Tips from the Trenches: Agile Principles in Data Projects, Part 1
    • Ask the Data Governance Coach: Managing Senior Stakeholders Who Want Everything
    • Four Important Data Governance Best Practices

  • April

    • Data, Data, Data
    • It’s All in the Data: It was 20 Years Ago Today
    • What Does Data Governance Mean?
    • Practical Points from the DGPO: The Linchpin of Data Governance Success
    • Guidelines for Building World-Class Business Glossaries – The Essence of Concepts
    • Introduction to Agile Project Management, Part 3
    • How to Conduct a Thorough Data Governance Best Practice Assessment
    • Appreciating Metadata Through Music
    • Data Professional Introspective: Tulip Fields and How to Tend Them
    • Semantic Business Vocabulary and Rules (SBVR)
    • Data Architecture COMN Sense: Data Types and Roles
    • The Book Look: Quantifiably Better

  • March

    • Characteristics of Governing Data
    • Privacy and Internet of Things (IoT)
    • Data is Risky Business: Metadata Impact on Business Meaning and Risk
    • Business Glossaries and Metadata: The Prime Directive
    • Introduction to Agile Project Management: Part 2
    • Security as a Foundation for CS Ed
    • Bob Seiner’s Non-Invasive Data Governance Online Training™ Now Available
    • Defining Data Governance Core Principles
    • Framework for Managing Knowledge, Content and Documents
    • Guidelines for Building World-Class Business Glossaries: Disambiguation by Context
    • The Data Forecast: (Un-)Reasons to do Data Analytics in the Cloud
    • The Data-Centric Revolution: Integration Debt
    • Data Storytelling: It’s More than Visualization

  • February

    • Can You Trust Your Data?
    • Can You Federate Data Governance?
    • Data Architecture COMN Sense: Big Knowledge?
    • Confessions of a Data Steward: All I Really Need to Know, I learned in Kindergarten
    • The Business of Data: The Best of Donna
    • DAMA International Community Corner: The CDO – There Should be Passion!
    • A Data Governance Maturity Model
    • Guidelines for Building World-Class Business Glossaries: The Kick Off Word
    • The Data Governance Coach: What Do You Include in a Data Quality Issue Log?
    • The Digital Transformer: Digital Delivery – Charles Betz’s New Book
    • The Relationship Between Data Quality and Philosophy
    • Introduction to Agile Project Management, Part 1

  • January

    • Best Practices for Agile Documentation
    • There Are No Facts … Without Data
    • Data Professional Introspective: Comparable Data Management (Part 4)
    • You Can Run, but You Can’t Hide
    • The Book Look: Growing Business Intelligence
    • The Curious Case of Modern Consistency
    • It’s All in the Data: Data Anarchy vs Governance
    • MDM Needs Data Governance
    • Dancing Around BPM and Data Management
    • Data Architecture COMN Sense – Is the Data Warehouse Dead?
    • Data Governance Best Practice Award – Call for Submissions
    • Practical Points from the DGPO: Data Resolutions for 2017

• 2016

  • December

    • Business Glossaries and Metadata: Using the Glossary to Drive Data Quality
    • The Data Forecast: The Ridiculous CDO
    • Enterprise Data at Risk – Five Danger Signs of Data Integration
    • Data Quality Isn’t Everything
    • Upon Further Review – Data Governance Winter Conference 2016
    • Data Architecture COMN Sense: What are Data and Information?
    • The Data of the Game
    • Data is Risky Business: Data Ethics – Meet the New Boss (Same as the Old Boss)
    • Governance to Drive GDPR Compliance
    • The Data-Centric Revolution: Do Data Lakes Make My Enterprise Look Data-Centric?
    • Tips for Running Data Governance Forums
    • The Politics Of Data Governance: What We Can Learn From 2016 Presidential Elections?

  • November

    • The Ten (Database) Commandments
    • The Business of Data: The Importance of Business Process in Data Management
    • A Data Governance Manager Job Description
    • Data Architecture COMN Sense – The Missing Logical Layer in Data Management
    • Rationale for Enterprise Governance
    • DAMA International Community Corner: The DAMA Evolution Continues
    • How Enterprise-Level IT Professionals Can Be Agile
    • An Open Letter to All Data Users
    • The Digital Transformer: Renewing the IT Curriculum
    • The Data Governance Coach: Can Software Help My Data Governance Initiative?
    • Stepping Up to Data Ethics
    • From the Desk of Bob Seiner

  • October

    • It’s All in the Data: Data 2020
    • The Chief Data Officer Rises
    • Managing Metadata in the Self-Service Age
    • Five Things for Data Governance Success
    • Bad Data’s Impact on Decision-Making
    • The Book Look: Flow-Based Leadership
    • Data Professional Introspective: Comparative Data Management (Part 3)
    • Comparing Approaches to Data Governance
    • The Soft Stuff is the Hard Stuff
    • Exploiting a Semantic Method
    • Data Architecture COMN Sense: Relationships in Structured Data
    • Practical Points from the DGPO

  • September

    • Data Governance and Dancing in the Rain
    • Today’s Crypto-Frankenstein
    • Data is Risky Business: The Customer Perspective
    • The Data-Centric Revolution: Data-Centric vs. Data-Driven
    • The Human Data Processor
    • Converting an Essential Model to a Real Database Design, Part 3
    • The Data Forecast: The Value of Data
    • What Can’t You Do Because Your Data is Ungoverned?
    • Toward a Better Understanding of Metadata – Repository
    • Data Warehouse Design – Inmon versus Kimball
    • Business Glossaries and Metadata: The “Value” of our Data Consumers
    • Data Architecture COMN Sense: Relationships and Semantics

  • August

    • Don’t Tell Management About Data Governance
    • Data Modeling: Understanding and Being Understood
    • Non-Invasive Framework for Data Governance Implementation: Details, Part 2
    • The Business of Data: Metadata is Marketing
    • The Digital Transformer: Thoughts on Data Governance
    • The Importance of Business Dialogue as a Part of Data Governance
    • The Data Governance Coach: Do We Have to Call Them Data Owners?
    • Five Misconceptions of Data Governance
    • DAMA International Community Corner July 2016: Moving DAMA Forward
    • Converting an Essential Data Model to a Real Database Design, Part 2
    • Ethics, Shmethics
    • Data Visualization from the Other Side

  • July

    • From the Publisher – Happy 1st Anniversary & Questionnaire
    • Data Professional Introspective: Comparative Data Management (Part 2)
    • Non-Invasive Framework for Data Governance Implementation – Part 1: Levels and Components
    • Metadata is Not a Technical Term Anymore
    • It’s all in the Data: Everybody is a Data Steward (Get Over It)
    • Converting an Essential Data Model to a Real Database Design, Part One
    • Modeling Data Versus Designing Databases: A Case Study
    • NoSQL and SQL Data Modeling – Separating Type and Class
    • The Book Look: Data Lake Architecture
    • Practical Points from the DGPO
    • Career Roadmapping

  • June

    • The IT Data Governance Survey
    • It’s all in the Data: Data is Like Contaminated Water
    • Mitigate Information Related Risks with Metadata
    • A Framework For Data Excellence and Key Security Indicators
    • Questions Being Asked About Data Governance: Best of #RWDG Q&A
    • The Data Centric Revolution: The Evolution of the Data Centric Revolution Part Two
    • Business Glossaries and Metadata: Building the Data Governance Business Case
    • Making Your Data Governance Model Inclusive
    • New Data Scientist: Data is a Monster
    • Combining Data from Multiple Sources – Join, Integrate, Blend?
    • Data is Risky Business: ARP – An Alternative Approach to Data Governance
    • Data Monetization: Data Assets into Profit

  • May

    • Battling Data Demons with Data Governance
    • The Digital Transformer: Digital (Re)Education
    • The Business of Data: Focus on the Data that is Important to Your Business
    • Bots in a Smart Data World
    • IT Data Governance: Run IT like a Business
    • What are NoSQL Databases?
    • Driving Data Innovation in the City of Chicago
    • Which Business Rule do I Believe?
    • A Practical Tool for Data Stewards
    • Ask the Data Governance Coach: What is a Data Glossary?
    • DAMA International Community Corner: May 2016
    • Letter to the Publisher

  • April

    • What is Non-Invasive Data Governance?
    • Toward a Better Understanding of Metadata – Program Initiation
    • Governance, Risk Management and Compliance – A Step Toward Value-Centric and Data-Driven
    • It’s all in the Data: Data Governance and Sharing Data Models
    • Just Enough, Just In Time Semantics
    • Managing Enterprise Data Assets to Enable Data Governance
    • Big Data and Internet of Things – How the Future of Data Analysis is Evolving
    • The Book Look: Data Novels
    • Practical Points from the DGPO: Communications is the Key
    • The Evolution (and Opportunity) of IT Careers
    • Data Professional Introspective: Comparative Data Management (Part 1)

  • March

    • Start Data Governance by Protecting Your Data
    • Pragmatic Data: Another Good Reason to Model Your Data
    • Data is Risky Business: Training is More Than a Monkey with Bad PowerPoint
    • Mastering Data: An Algorithm to Clean Names
    • Privacy Engineering and Data Governance
    • Risk Data Aggregation and Reporting for BCBS 239
    • Big Changes in the World of Data Modeling
    • Business Glossaries and Metadata: Governance of Enterprise Reference Data – Why Do We Care?
    • How to Avoid the Requirements Trap
    • The Data-Centric Revolution: The Evolution of the Data-Centric Revolution Part One
    • How to Approach Enterprise Content Management

  • February

    • Seiner’s Data Steward Rules
    • The Business of Data: Data-Driven Business Transformation
    • Protection of PII Data is Vital: A Slice of PII
    • Toward a Better Understanding of Metadata – Governance
    • Digital Transformer: Introducing the IT4IT Standard
    • Insight … So What?
    • Data Governance Coach: What Does a Data Governance Coordinator Do?
    • DAMA International Community Corner: January 2016
    • Data Needs to be Made Available
    • How to Manage Null Values in Your Data Warehouse
    • Data Modeling Techniques – Efficiency of Meta-Entities in an ERD

  • January

    • It’s All in the Data – I’ll Take My Data Big and Smart
    • Master Data Management & Data Governance Benchmark Survey
    • It’s the Information, Not the Medium
    • Topology of Data Models within the Enterprise
    • Toward a Better Understanding of Metadata – Examples of Metadata in Business
    • Data Professional Introspective – Data Agility & Taming the Interface Chaos
    • Data as an Enabler of Corporate Value
    • A Really Close Look at the “Universal Data Vault” (UDV)
    • Practical Points from the DGPO – Data Governance Organizations
    • The Book Look – The Brackett Trilogies

• 2015

  • December

    • So What if Senior Leadership Loses Interest – Whatever it Takes
    • Business Glossary Definitions: The Most Difficult Effort
    • Data Governance in Agile Projects
    • A Ten-Step Plan for an Effective Data Governance Structure
    • Toward a Better Understanding of Metadata – Metadata Defined
    • Data is Risky Business: The Hitchhiker’s Guide to Safe Harbor
    • Data Cleansing vs Data Maintenance: Which One Is Most Important?
    • The Data-Centric Revolution: Seven Warning Signs of Appliosclerosis
    • Govern by Value: Data-driven Business Excellence
    • Pragmatic Data: Where Does Your Data Science Live?
    • Invest in New but Improve Old

  • November

    • The Data Governance Test
    • Agile Methodologies in EDM Projects
    • Technical Metadata Tool Requirements
    • The Digital Transformer – Agile is Killing the Center of Excellence
    • The Business of Data – Make Your Data Management Project a Peacock
    • Is the “Data Asset” Really Different?
    • Just What is Data Quality?
    • Ask the Data Governance Coach – What is the Difference Between Policies and Standards?
    • DAMA International Community Corner – What is New at DAMA International?
    • Universal Data Vault: Case Study in Combining “Universal” Data Model Patterns with Data Vault Architecture – Part 1

  • October

    • Ten Years of Data Quality Lessons
    • It’s All in the Data – A Day in the Life
    • Data Professional Introspective – Evolving the Business Tribe: Centrality of the Business Glossary
    • The Book Look – “Steve the Publisher”
    • Why Bad Data is Spoiling Your Marketing Efforts
    • A Sample DBA Job Posting
    • Practical Points from the DGPO
    • The Case Against Slowly Changing Dimensions, Part Two
    • Why I Hate FUD – Fear, Uncertainty & Doubt
    • Data Knowledge Democratization

  • September

    • Why You Should Care About Data Governance
    • The Data-Centric Revolution
    • Pragmatic Data
    • Data is Risky Business
    • Business Glossaries and Metadata
    • Developing a Return on Investment
    • Back to the Future
    • Service Level Requirements (SLR) as the Origin of the SLA Content
    • Data Governance Happenings
    • The Ever-Changing Role of the DBA

  • August

    • Data Modeling is Data Governance
    • The Digital Transformer
    • Ask the Data Governance Coach
    • Social Media and “The Right to Be Forgotten”
    • Things I Think I Think about Data Governance
    • The Case Against Slowly-Changing Dimensions, Part One
    • The Business of Data
    • Data/Information Maturity Assessment
    • The Meta-Data Fiasco
    • DAMA International Community Corner

  • July

    • Master Data Management and Data Governance Benchmark Survey
    • Baffled by Big Data Governance?
    • It’s All in the Data – My, My, Hey, Hey
    • The Book Look
    • Data Professional Introspective
    • Practical Points from the DGPO
    • Training: Not a “Tick Box” Activity
    • Medical Professional Liability Ratemaking: Extending the Scope of Predictive Analytics
    • Data Storytellers Wanted
    • Welcome Back TDAN.com

• 2014

  • October

    • Interview with Cathy Nolan – Audacity to Spy

  • August

    • Interview with Bob Seiner
    • Real-World Data Governance – August 2014
    • The EIM Puzzle – August 2014
    • The DAMA Corner – August 2014
    • Agile Data Design – August 2014

  • April

    • Information Governance
    • The Skeptical Architect April 2014
    • The Database Report – April 2014

  • March

    • Business Rules – March 2014
    • Mind the Governance Gap
    • Enterprise Data Warehousing and BI Best Practice
    • DAMA Corner – March 2014
    • The Decision Model – March 2014
    • Big Data and the Roman Census Approach
    • Essential Steps to a Data Management Certification from CDMP

  • February

    • Agile Data Design February 2014
    • The EIM Puzzle – February 2014
    • Metamusings on Life, Business, Data February 2014

  • January

    • Best of 2013 – Walk Softly: Why Non-Invasive Data Governance Wins
    • The Database Report – January 2014
    • Best of 2013 – Interview with Pablo Riboldi – 2013 Data Governance Best Practice Award Winner
    • SELECT * FROM Celko – January 2014
    • Best of 2013 – The Evolving Data Modeler Skillset
    • The Skeptical Architect – January 2014
    • Best of 2013 – DBA Rules of Thumb
    • Best of 2013 – IT Matters. Again.

• 2013

  • December

    • Extending the Model Ð Derived Attributes
    • The Decision Model – December 2013
    • Business Rules – December 2013

  • November

    • Agile Data Design November 2013
    • The EIM Puzzle November 2013
    • Sentiment Analysis and Sentiment Intelligence
    • DAMA Corner – November 2013

  • October

    • The Database Report October 2013
    • Metamusings on Life, Business, and Data October 2013
    • The Skeptical Architect October 2013

  • September

    • Business Rules – September 2013
    • SELECT * FROM Celko – September 2013
    • The Data Governance Test – Reborn
    • The Decision Model – September 2013
    • Enterprise Data Modeling

  • August

    • The EIM Puzzle – August 2013
    • Agile Data Design August 2013
    • DAMA Corner – August 2013

  • July

    • Three Levels of Data Governance Communications
    • Metamusings on Life, Business, and Data July 2013
    • The Ever-Changing Role of the DBA
    • EA Principles July 2013
    • What is IT Value?
    • The Database Report July 2013
    • The Data Modeling Addict July 2013

  • June

    • The Decision Model – June 2013
    • SELECT * FROM Celko – June 2013
    • Business Rules – June 2013

  • May

    • The EIM Puzzle – May 2013
    • Designing Reference Tables for Usefulness, Flexibility and Survival
    • The Skeptical Architect – May 2013
    • The Three Drivers of Innovation
    • Agile Data Design – May 2013
    • DAMA Corner – May 2013

  • April

    • The Data Modeling Addict April 2013
    • The Database Report April 2013
    • EA Principles – April 2013
    • Data Governance Tweets
    • Facing the Flexibility Problem in Human Service Information Systems

  • March

    • SELECT * FROM Celko – March 2013
    • The Decision Model – March 2013
    • BI Stack Today and Tomorrow

  • February

    • Business Rules – March 2013
    • The Future of Relational Databases
    • The Skeptical Architect – February 2013
    • Master Data Mgmt & Data Governance
    • The EIM Puzzle – February 2013
    • Agile Data Design – February 2013
    • DAMA Corner – February 2013

  • January

    • The Data Modeling Addict January 2013
    • The Database Report January 2013
    • EA Principles – January 2013

• 2012

  • December

    • Book Review: Secrets of Analytical Leaders
    • SELECT * FROM Celko – December 2012
    • The Decision Model – December 2012
    • Business Rules – December 2012

  • November

    • The Skeptical Architect – November 2012
    • The EIM Puzzle – November 2012
    • Agile Data Design – November 2012

  • October

    • DAMA Corner – November 2012
    • Death by Spreadsheet, Part 1
    • Data Mining in Practice – October 2012
    • The Database Report October 2012
    • The Data Modeling Addict October 2012
    • From Data Modeling to Ontologies: Discovering What Exists, Part 2
    • EA Principles – October 2012

  • September

    • The Decision Model September 2012
    • SELECT * FROM Celko – September 2012
    • From Data Modeling to Ontologies: Discovering What Exists, Part 1
    • Employing Enterprise Metadata to Effectively Deploy Enterprise Resource Planning Packages, Part 1
    • Business Rules – September 2012
    • A Taxonomy of Barriers to Producing Performance Indicators on Human Service Programs

  • August

    • Review of Building the Agile Database
    • Agile Data Design – August 2012
    • The EIM Puzzle – August 2012
    • Review of Data and Reality 3rd Edition
    • Binding the Governance Organization to the Data: An Example from Retail Banking for the Customer Domain
    • The Skeptical Architect – August 2012
    • From Knowledge Management to Knowledge Flow Management
    • DAMA Corner – August 2012

  • July

    • The Data Modeling Addict – July 2012
    • EA Principles – July 2012
    • Data Mining in Practice – July 2012
    • The Database Report July 2012

  • June

    • The Myth of Information Overload
    • The Decision Model June 2012
    • Three Books for the Next Ten Years
    • Business Rules – June 2012
    • Happenings in Data Governance
    • SELECT * FROM Celko June 2012
    • Metadata in Data Governance

  • May

    • Agile Data Design – May 2012
    • Best Practices of Business Process Management: The Top Ten Principles
    • The Skeptical Architect – May 2012
    • DAMA Corner – May 2012

  • April

    • Why Clarity and Holism Matter for Managing Human Service Information
    • Interview with Steve Hoberman on the Upcoming Data Modeling Zone Conference
    • EA Principles April 2012
    • Happenings in Data Governance
    • Governing Customer Information in Insurance
    • The Database Report – April 2012
    • Is Your Data Governance Program In Trouble?
    • The Data Modeling Addict – April 2012
    • Big Data and Predictive Analytics WhatÕs All the Rage About?
    • A Taxonomy of Data Management Disciplines
    • Data Mining in Practice – April 2012

  • February

    • The Skeptical Architect – February 2012
    • The EIM Puzzle – February 2012
    • DM Forum and the Enterprise Architecture and Data Warehousing 2012 Conference
    • Book Review: UML and Data Modeling
    • Proactive and Reactive Techniques to Address Information Quality Challenges Head On
    • Agile Data Design – February 2012
    • Architecture Made Easy, Part 13
    • Book Review: Principles of Data Management:
    • Business Rules – February 2012

  • January

    • What’s New in Data Governance
    • The Data Modeling Addict – January 2012
    • Key Features Needed in a Data Modeling Tool
    • Data Mining in Practice – January 2012
    • The Database Report – January 2012
    • Ten Data Management Capabilities That Address Urgent Business Priorities

• 2011

  • December

    • SELECT * FROM Celko December 2011
    • BI Career Development – December 2011
    • The Skeptical Architect – December 2011

  • November

    • Data Models: The Center of the Business Information Systems Universe
    • Patterns for the IT Process
    • Business Rules – November 2011
    • Happenings in Data Governance
    • Conquering the Logical-Physical Divide – November 2011
    • The Analytic Sandbox
    • DAMA Corner – November 2011

  • October

    • Interview with Susan Earley of DAMA on the DAMA Dictionary, 2nd Edition
    • The Database Report – October 2011
    • Lean Principles and IT Demand Management
    • The EIM Puzzle – October 2011
    • Data Types of the Future!
    • The Data Modeling Addict – October 2011
    • A Route to Streamlined Performance Reporting and Stronger Information Systems
    • Data Mining in Practice – October 2011

  • September

    • The Decision Model – September 2011
    • How to Draw an Architectural Data Model in UML
    • SELECT * FROM Celko September 2011
    • BI Career Development – September 2011
    • If You Think You Can Do Without a Business Analyst ÉThink Again!
    • Dynamic Structured Data Processing and Its Automatic Metadata Maintenance
    • The Skeptical Architect – September 2011

  • August

    • Business Rules August 2011
    • Interview with Michael Brackett Author of Date Resource Simplexity: How Organizations Choose Date Resource Success or Failure
    • Some Types and Uses of Data Models
    • Conquering the Logical-Physical Divide August 2011
    • DAMA Corner – August 2011

  • July

    • The Data Modeling Addict July 2011
    • The Database Report July 2011
    • Data Mining in Practice July 2011

  • June

    • The Decision Model June 2011
    • BI Career Development – June 2011
    • Leave the “IT” in “ITSM”
    • SELECT * FROM Celko June 2011
    • Challenge for Business Information System Success

  • May

    • The Skeptical Architect – May 2011
    • Business Rules – May 2011
    • Happenings in Data Governance
    • Data Migration Ð Key Considerations
    • DAMA Corner May 2011
    • Conquering the Logical-Physical Divide May 2011

  • April

    • The Database Report April 2011
    • Protection of Personal Information (POPI)
    • Data Mining in Practice April 2011
    • Book Review: RecrEAtion: Realizing the Extraordinary Contribution of Your Enterprise Architects
    • Visualizing XML Schemas in Data Modeling Tools
    • Dead Crows Rumbled
    • The Date Maze April 2011

  • March

    • SELECT * FROM Celko – March 2011
    • Informationalize: Put Data to Work by Building Them into Products and Services
    • A Case Study on Data Migration Strategy and Template Design for Mergers and Acquisitions in the Oil and Gas Sector
    • The Decision Model – March 2011
    • BI Career Development – March 2011
    • The IBM Data Governance Unified Process

  • February

    • Conquering the Logical-Physical Divide February 2011
    • Business Rules – February 2011
    • The Zachman Framework Updated
    • DAMA Corner – February 2011
    • Consider Capping to Control Costs
    • Business Rules – February 2012

  • January

    • Why Data Models Cannot Work
    • So You Want to be a Data Champion?
    • Is Your Organization Too Unique to Use Universal Data Models?
    • The Database Report – January 2011
    • Data Mining in Practice January 2011
    • The Data Modeling Addict – January 2011
    • Creating and Establishing a Common Language

• 2010

  • December

    • SELECT * FROM Celko December 2010
    • The Decision Model – December 2010
    • BI Career Development – December 2010
    • A Framework for Logical Data Models in Courts
    • Creation of a Property & Casualty Insurance Data Standard Model

  • November

    • DGPO What does it mean to you?
    • Conquering the Logical-Physical Divide November 2010
    • Business Rules – November 2010
    • Interview with Steve Adler – IBM Info Governance
    • Defining EIM and IAM
    • DAMA Corner – November 2010
    • Valid RFP Development

  • October

    • If You Missed the Data Governance Conference in June
    • Data-Driven Molecular Specifications, Part 1
    • The Data Modeling Addict – October 2010
    • The Database Report October 2010
    • Data Mining in Practice October 2010
    • Different Kinds of Data Models: History and a Suggestion
    • The Data Maze October 2010

  • September

    • The Decision Model – September 2010
    • SELECT * FROM Celko – September 2010
    • IT and BI Career Development – September 2010

  • August

    • DAMA Corner August 2010
    • A New, Flexible Architecture for Developing Business Intelligence Systems
    • Conquering the Logical-Physical Divide August 2010
    • Architecture Is Objective, Design Is Subjective August 2010

  • July

    • Data Integration Design: Event Management
    • The Database Report – July 2010
    • Farm and Market Architecture: A Vital Question for Master Data Management
    • Data Mining in Practice July 2010

  • June

    • test
    • Architecture Made Easy, Part 10
    • SELECT * FROM Celko – June 2010
    • The Decision Model June 2010
    • Information Maturity in Large Organisations through Business Semantics: a Business Case at the Flemish Public Administration
    • The 2010 Data Governance Best Practice Award Recognizes the British Army
    • IT and BI Career Development – June 2010
    • DAMA Corner – June 2010 (May)
    • TDAN.com Interview with Brigadier Richard Nugee The British Army

  • May

    • A Review of Malcolm Chisholm’s Book: Definitions in Information Management: A Guide to the Fundamental Semantic Metadata
    • Prepositions, Not Verbs or Nouns
    • Conquering the Logical-Physical Divide May 2010
    • Business Rules May 2010
    • Are You at the Controls?
    • Architecture Is Objective, Design Is Subjective May 2010
    • Data Architecture as a Service

  • April

    • Get Your Geek On with ERwin.com
    • The Database Report – April 2010
    • Book Review: Data Modeling Made Simple – 2nd Ed
    • Consider Data & Process as Two Sides of the Same Coin
    • The Data Modeling Addict – April 2010
    • Cloud Computing for Technology Tools
    • The Data Maze April 2010
    • Architecture Made Easy, Part 9
    • Data Mining in Practice April 2010

  • March

    • SELECT * FROM Celko – March 2010
    • Defining and Naming Data Models Related to the Zachman Framework
    • IT and BI Career Development – March 2010
    • Experiences on the Hidden Complexities of Data Standards Integration
    • Political Economies and Data Decisions
    • The Decision Model March 2010
    • Information Management: A Key for Creating Business Value

  • February

    • Non-Invasive Data Governance Explained
    • Interview with Davida Berger
    • Interview with Steve Hoberman
    • Architecture Made Easy, Part 8
    • Business Rules February 2010
    • MDM & Data Governance Readiness Assessment
    • Reference Data Management
    • Conquering the Logical-Physical Divide Feb 2010
    • DAMA Corner February 2010

  • January

    • The Data Modeling Addict January 2010
    • The Data Maze January 2010
    • Digging Up Dollars: Data Mining in Practice January 2010
    • Software Product Selection: Improved Methods, Improved Results
    • The Database Report – January 2010
    • Controlling Hierarchical Structure Processing From SQL

• 2009

  • December

    • The “Non-Invasive Data Governance”™ Operating Model
    • Not About Data Governance: My FatherÕs Son
    • The Decision Model December 2009
    • Interview with Larry English
    • SELECT * FROM Celko – December 2009
    • The Power of a Common Business Language
    • Lean IT Value Streams: An Entity Lifecycle Approach
    • IT and BI Career Development – December 2009
    • Best Practices for IT Service Management

  • November

    • The Field of Dreams Mind-Set
    • Business Event Management
    • DAMA Corner November 2009
    • Conquering the Logical-Physical Divide November 2009
    • DAMA-DMBOK Available!
    • Business Rules November 2009
    • Architecture Made Easy, Part 7
    • Just the Facts About Mainframe Specialty Processors
    • Architecture Is Objective, Design Is Subjective November 2009
    • Data for Information Management

  • October

    • Budgeting Time for Data Stewardship
    • The Data Maze October 2009
    • Bridging the Data-Metadata Duality
    • Agile Leadership and Management of Change Project Lessons from Winston Churchill and the Battle of Britain
    • SQL Server 2008 R2: Introducing Managed Self-Service Business Intelligence
    • The Database Report – October 2009
    • Transparency
    • Creating More Value than is Captured with Hierarchical Data Structures Using SQL
    • Enterprise Data Warehouse: A Patterns Approach to Integration Evolution
    • The Data Modeling Addict October 2009
    • Digging up Dollars: Data Mining in Practice October 2009

  • September

    • The Decision Model – September 2009
    • DBAs Reinvented
    • Data Governance Communications Planning
    • SELECT * FROM Celko – September 2009
    • IT and BI Career Development September 2009
    • Architecture Made Easy, Part 6
    • Data Portability The Antidote to Data ÒLock-InÓ
    • Proven Strategies for Large-Scale Data Migration Projects

  • August

    • The Cultural Impedance Mismatch
    • Interview with Barbara von Halle & Larry Goldberg
    • Conquering the Logical-Physical Divide – August 2009
    • Review of The Decision Model: A Business Logic Framework Linking Business and Technology
    • Business Rules – August 2009
    • Architecture Made Easy, Part 5
    • Architecture Is Objective, Design Is Subjective – August 2009
    • Insights into the Interplay of Data Architecture Components
    • The Ghost in the Machine
    • DAMA Corner August 2009

  • July

    • Jedox Announces a New Development for its Open-Source OLAP Palo Product
    • Proven Strategies for Executing Large-Scale Data Modeling Projects
    • Interview with Steve Hoberman
    • Dimensions of Data Architecture
    • The Database Report – July 2009
    • Digging up Dollars: Data Mining in Practice – July 2009
    • The Data Modeling Addict – July 2009
    • Semantic SOA Governance

  • June

    • IT and BI Career Development June 2009
    • The Changing Discipline of Data Modeling
    • SELECT * FROM Celko – June 2009
    • Chief Data Officer
    • Dimensional Analysis of Data Architecture
    • Death by Architecture

  • May

    • Data Governance Value Statements
    • Conquering the Logical-Physical Divide – May 2009
    • Architecture Is Objective, Design Is Subjective – May 2009
    • Taking Inventory of the Unstructured World
    • Business Rules – May 2009
    • Thoughts on Data Quality
    • DAMA Corner May 2009
    • Data Models and Data Profiling

  • April

    • Digging up Dollars: Data Mining in Practice – April 2009
    • Modeling the Blueprint for MDM
    • Interview with Len Silverston of Universal Data Models
    • The Data Modeling Addict – April 2009
    • Real Men Don’t Read Instructions
    • The Database Report – April 2009
    • Enterprise MDM Market Review & Forecast
    • Unwired Tap – April 2009
    • 10 Ways to Save an Hour a Day
    • Eye on TDWI – Las Vegas 2009

  • March

    • Data Mining Questions?
    • IT and BI Career Development – March 2009
    • Earned Value Management
    • Is a Science of Data Possible?
    • Architecture Made Easy, Part 4
    • Link Corporate Policy and Data Design with Decisioning
    • SaaS and BI – March 2009
    • SELECT * FROM Celko – March 2009
    • How to Build & Implement a Non-Invasive Data Governance Program – 2 Day Seminar

  • February

    • The Data Stewardship Approach to Data Governance: Part 10
    • The CMDB is an Operational Data Store
    • Architecture is Objective, Design is Subjective – February 2009
    • Business Rules – February 2009
    • DAMA Corner February 2009
    • The Requirements Bill of Materials: A Walkthrough
    • The Last Lecture from Randy Pausch

  • January

    • Governance for Taxonomic Reference Data
    • The Database Report – January 2009
    • 5 Hiring Habits of Successful CIOs
    • Unwired Tap – January 2009
    • Grids in Data Warehousing
    • Agile: The Good News, The Bad News
    • The Data Modeling Addict – January 2009

• 2008

  • December

    • The Strategic Data Dashboard
    • UML as a Data Modeling Notation, Part 4
    • The 10-Minute Data Model Review, Part 3
    • SaaS and BI – December 2008
    • SELECT * FROM Celko – December 2008
    • Specters That Haunt ERP System Conversions
    • IT and BI Career Development – December 2008

  • November

    • Business Rules – November 2008
    • DAMA Corner November 2008
    • Architecture is Objective, Design is Subjective – November 2008
    • UML as a Data Modeling Notation, Part 3
    • Architecture Made Easy, Part 3
    • Application Administration: The Next Frontier for the DBA
    • First-Time Right Ratio: Measuring the Measurers

  • October

    • The Database Report – October 2008
    • Pursuing Organization’s Most Influential Information Job
    • Unwired Tap – October 2008
    • The Data Modeling Addict – October 2008
    • UML as a Data Modeling Notation, Part 2
    • Architecture Made Easy, Part 2
    • Temporal Versioning
    • Data Semantics Management – New Book Just Announced

  • September

    • The DGI Data Governance Framework
    • UML as a Data Modeling Notation, Part 1
    • The Last Lecture: An As-We-Go Review
    • SELECT * FROM Celko – September 2008
    • SaaS and BI – September 2008
    • CDI and MDM Are Broken, Part 2
    • A Bifocal Strategy for Data Quality
    • ROI – Paying for the CMDB Metadata Knowledgebase
    • Seven Critical Questions to Ensure Master Data Governance Success

  • August

    • Unwired Tap – July 2008
    • Architecture is Objective, Design is Subjective – August 2008
    • Business Rules: In the Know – August 2008
    • Grounding Your IQ Management in Sound Quality Management Systems
    • The Data Stewardship Approach to Data Governance: Part 9
    • Data Lineage: The Next Generation
    • The 10-Minute Data Model Review, Part 2
    • DAMA Corner August 2008
    • Function Points
    • Database Auditing Capabilities for Compliance and Security

  • July

    • Getting Off on the Right Foot: Avoiding Common Master Data Management False Starts
    • Non-Invasive Data Governance
    • The Data Modeling Addict – July 2008
    • The Database Report – July 2008
    • New Ideas on the ROI of Data and Business Rules, Part 1
    • Where is the Query in XQuery?
    • The 10-Minute Data Model Review, Part 1

  • June

    • TDAN.com Job Listing Test
    • Eye on TDWI – May 2008
    • Crow’s Feet Are Best
    • SaaS and BI – June 2008
    • Computer Life Cycle Management and Migration
    • Subtyping in W3C XML Schema, Part 2

  • May

    • Architecture is Objective, Design is Subjective – May 2008
    • Metadata Improvements – A Case Study
    • Getting and Keeping Your Data Right
    • The Prime Business Decision Loop
    • DAMA Corner May 2008
    • All About fruITion: Creating the Ultimate Corporate Strategy for Information Technology
    • Performance Tuning Considerations for Decision Support Systems

  • April

    • DAMA INTL Announces Dictionary of Data Management at Symposium – Spring 2008
    • Enterprise Service Engineering
    • Subtyping in W3C XML Schema, Part 1
    • The Database Report – April 2008
    • Eye on TDWI – February 2008
    • Architecture Made Easy, Part 1
    • The Data Modeling Addict – April 2008
    • Unwired Tap – April 2008

  • March

    • Acorn Systems Delivers Accurate Customer Profitability Analysis
    • Bill Stuckey, Operating Partner, Information Technology, Arsenal Capital Partners
    • Milestones on the 2008-9 Master Data Management Road Map
    • Business Analysis: A Guide to Better Software Evaluation
    • AS2 for EDI Hubs – The Value Proposition
    • Mind Your Language Too

  • February

    • The Data Stewardship Approach to Data Governance: Chapter 8
    • Understanding the ITIL CMDB Meta-Model
    • SOA – From Architecture to Implementation

  • January

    • Information Governance: Controlling Information as a Strategic Enterprise Resource
    • Unwired Tap – January 2008
    • The Data Modeling Addict – January 2008
    • Enterprise Architecture – Connect-the-Dots for Adults, Part 4
    • Principles of ROI Development for Data Quality Projects
    • Taking the Temperature of Your Data
    • Eye on TDWI – November 2007
    • DAMA Corner January 2008
    • The Database Report – January 2008

• 2007

  • November

    • Enterprise Architecture – Connect-the-Dots for Adults, Part 3
    • American ITIL – Winning The Metadata Contest
    • Too Simple, Too Soon
    • Business Analysis: A Guide to Better Business Requirements

  • October

    • Irem Radzik, Director of Product Marketing for GoldenGate
    • The Data Stewardship Approach to Data Governance: Chapter 7
    • The Database Report – October 2007
    • Book Review: Data Interoperability Community of Interest Handbook
    • Unwired Tap – October 2007
    • The Data Modeling Addict – October 2007
    • Enterprise Architecture: Connect-Dots for Adults, Part 2
    • DAMA Corner October 2007
    • Information Systems Development
    • Semantics in Metadata Repository and Systems Integration Efforts
    • CDI and MDM are Broken, Part 1
    • Enterprise Application Modernization
    • Thought Leaders on Data Modeling, Part 2

  • September

    • Requirements for Modeling Metrics
    • Eye On TDWI – August 2007
    • CBIP Preparation for the Information Systems Core Exam
    • Reactive and Proactive Business Intelligence

  • August

    • Bill Baker, Distinguished Engineer and General Manager of Business Intelligence for the Microsoft Office Business Platform and Donald Farmer, Principal Program Manager for Microsoft SQL Server Data Mining
    • How Mature is Your Data Management Environment?
    • The Right Tool for the Right Job
    • The Socialization of Knowledge
    • Enterprise Architecture: Connect-the-Dots for Adults, Part 1
    • Why Data Models Do Not Work: The Role of Reference Data

  • July

    • 2007 Best Practices Award Winner: Memorial Sloan-Kettering
    • The Data Stewardship Approach to Data Governance: Chapter 6
    • Eye on TDWI – May 2007
    • The Database Report – July 2007
    • DAMA Corner – July 2007
    • The Small Business Market – July 2007
    • Unwired Tap – July 2007
    • A New Way of Thinking – July 2007
    • Data Structure: Data Modeling or XML?
    • Data Integration Requires Trust
    • What Does Manage Your Data and Information Assets Mean?
    • Data Quality and the Project Life Cycle
    • The Data Modeling Addict – July 2007
    • Terminology, Semantics and the Meanings of Names
    • Data-Driven and Agile Methods: Can We Get Along?

  • May

    • Data Warehousing ROI: Justifying and Assessing a Data Warehouse
    • Four Ways to Build a Data Warehouse
    • Data Warehousing ROI: Justifying and Assessing a Data Warehouse
    • Business Intelligence Solution Evolution: Adoption and Use
    • When Business Intelligence Equals Business Value
    • Ten Mistakes to Avoid When Selecting and Deploying BI Tools
    • Integrating Structured and Unstructured Data Using Text Tagging and Annotation
    • From Short Stack to Competitive Advantage: IHOP’s Pursuit of Data Quality
    • Framing Business Intelligence Governance
    • Building a Data-Centric Organization
    • The Four Components of BI Governance
    • Enterprise Data Modeling: Lost Art or Essential Science?
    • Beyond the Dashboard: Making Better Decisions
    • A Performance Management Primer: Why You Need More Than a Dashboard to Manage Your Strategy
    • Perry Carraway, Director of Business Development for Blackstone & Cullen, Inc.

  • April

    • The Small Business Market – April 2007
    • The Road to a Well-Ordered Enterprise is Through Metadata Management
    • Eye on TDWI – Las Vegas – February 2007
    • The Data Modeling Addict – April 2007
    • The Database Report – April 2007
    • Unwired Tap – April 2007
    • Introduction to Geospatial Data Management
    • Business Analysis: A Guide to Aligning IT & Business Strategy
    • A BPM-Driven Approach To Business Rules
    • Selling and Sustaining an Effective Governance Program
    • Considerations For Managing Risk In A Post-SOX Environment
    • Semantics and Business Meta-Data
    • Pick Your Partners:
    • Thought Leaders On Data Modeling:
    • Textual Analytics: Business Intelligence from a Textual Foundation
    • Introduction to Enterprise Architecture
    • The Data Stewardship Approach to Data Governance: Chapter 5

  • March

    • Wilshire Award Winner Q&A

  • February

    • What the E-Discovery Amendments To The Federal Rules of Civil Procedure Mean to You
    • 2006 Wilshire Award Q&A

  • January

    • Interstate Hotels & Resorts
    • The Small Business Market – January 2007
    • Data-Oriented Application Engineering: An Idea Whose Time Has Returned
    • Data Modeling News from the Ivory Tower
    • Announcing The Wilshire Conferences’ Award for Metadata Best Practices 2006 WILSHIRE AWARD WINNER Bank of Montreal
    • The Data Modeling Addict – January 2007
    • The Database Report – January 2007
    • Unwired Tap – January 2007
    • DAMA Corner – January 2007
    • A New Way of Thinking – January 2007
    • Data Management and Context Modeling
    • Modeling Data and Designing Databases
    • Data Warehousing in a Healthcare Environment
    • Normalizing with Entity Relationship Diagramming
    • Chief Data Steward or Chief Data Officer: Another C-Level Acronym?
    • Should Your CIO Care About Meta Data Management? Part Two
    • Business Metadata and Enterprise Search
    • Information Model – SOA in a Business Perspective
    • The “Top Five” Elevator Pitches to Give CxOs
    • Why Enterprise CRM Did *NOT* Deliver a “360º Customer View”
    • The Data Stewardship Approach to Data Governance: Chapter 4

• 2006

  • December

    • Data Governance in a Post-compliance World

  • November

    • Eye On TDWI – Orlando – November 2006
    • The Elusive Species of the Information Age: the Data Management Professional

  • October

    • The Data Modeling Addict – October 2006
    • The Database Report – October 2006
    • Unwired Tap – October 2006
    • DAMA Corner – October 2006
    • A New Way of Thinking – October 2006
    • Managing Data Names, Value Domains, Abbreviations and Definitions
    • Enabling a Business Intelligence Self-Service Platform Across The Enterprise
    • Bringing Business and IT Together – Part 3
    • The Semantic Model: A Basis For Understanding and Implementing Data Warehouse Requirements
    • A Bit More On Defining Keys
    • The Data Stewardship Approach to Data Governance: Chapter 3
    • Proactive Performance for the Data Warehouse
    • Data Modeling, RDF, & OWL – Part Three: Converting Data Model Relationships to OWL
    • Making the SOA Implementation Successful
    • Should Your CIO Care About Meta Data Management? Part One
    • Database Archiving for Long-Term Data Retention
    • Leveraging Technology to Reestablish Data Management
    • The Small Business Market – October 2006

  • September

    • Quick Reasoning: Business Value of Data Stewardship

  • August

    • Eye on TDWI – San Diego – August 2006

  • July

    • Unwired Tap – July 2006
    • Simplicity In Design: A Metadata Imperative
    • Data Modeling, RDF, & OWL – Part Two: Converting Data Model Entity Classes and Attributes to OWL
    • The Data Modeling Addict – July 2006
    • The Enterprise Ontology
    • The Database Report – July 2006
    • DAMA Corner – July 2006
    • A New Way of Thinking – July 2006
    • Introduction To Database Refactoring
    • Matching Unstructured Data and Structured Data
    • Self Organizing Maps (SOM’s) – Visualizing Textual Data
    • Implementing Data Quality Through Metadata, Part 2
    • Defining Keys
    • Introducing Data Unification and Harmonization: Critical Success Factor For Data Warehousing
    • The Flexible Enterprise: Creating a New Breed of Corporations
    • The Small Business Market – July 2006
    • Data Management: Business Necessity For All Business Disciplines

  • May

    • Prescribing Behavior With The Business Behavior Triad

  • April

    • The Data Modeling Addict – April 2006
    • The Data Stewardship Approach to Data Governance: Chapter 2
    • Facilitating Information Sharing Using Metadata
    • Are You Stuck In BI Adolescence?
    • Data Integrity – Pay Now, Or Pay Later
    • Data Modeling, RDF, & OWL – Part One: An Introduction To Ontologies
    • Implementing Data Quality Through Metadata, Part 1
    • Reflections On Knowledge Capture
    • Conceptual, Logical, Physical: Clearing the Confusion
    • Best Practices In Metadata Management – An Overview
    • Another Metadata Secret: The Metacard
    • Unwired Tap – April 2006
    • The Database Report – April 2006
    • The Small Business Market – April 2006
    • DAMA Corner – April 2006
    • Document Strategy Design and Information Agility

  • February

    • Transforming a Logical Data Model to a Physical Database Design – an Overview
    • Eye on TDWI – Las Vegas – February 2006

  • January

    • Data Modeling & Enterprise Project Management – Part 8
    • The Role of Data Dictionary in a Package Environment
    • Are You The Master of Your Data, Or its Slave?
    • Many-To-Many Relationships in XML Schema: Hints and Tips For the Busy E-R Modeler
    • Practical Data Stewardship Structures
    • Data Stewardship Framework – Part 4
    • Making Knowledge Management Work
    • The Knowledge Capture Culture
    • The Data Stewardship Approach to Data Governance: Chapter 1
    • Data Governance is Key to Successful Information Sharing
    • Bringing Business and IT Together – Part 2
    • Unwired Tap – January 2006
    • The Database Report – January 2006
    • Data Model Patterns: A Metadata Map
    • DAMA Corner – January 2006
    • A New Way of Thinking – January 2006
    • Security and Privacy of Data

• 2005

  • November

    • TDWI World Conference Fall 2005 – Exhibit Hall Highlights
    • Eye on TDWI – Orlando – November 2005

  • October

    • Data Modeling & Enterprise Project Management – Part 7
    • Data Rich, Information Poor? Focus On Right Metrics
    • Views: The Key to Database Agility
    • Capture the Value of Document Management & Find the Mess
    • The Database Report – October 2005
    • Data Stewardship Framework – Part 3
    • Loving to Hate the Data Administrator
    • Stages Of Data Utility & Value
    • Managing Risk in a Flat World
    • Better Data Models – Today:
    • The Career Development Mountains
    • Bringing Business and IT Together – Part 1
    • Framework Standards: What’s It All About
    • DAMA Corner – October 2005
    • Meta-Data Trends & Technologies – October 2005
    • A New Way of Thinking – October 2005

  • August

    • Eye on TDWI – San Diego – August 2005

  • July

    • Acquiring a Metadata Repository Tool
    • Expensive Lessons From the Past: Profit From Them
    • Modeling Baseball Cards: A Case Study
    • The Enterprise Data Model
    • Data Stewardship Framework – Part 2
    • What Managers Want
    • Data and Database Management: Centralized Versus Decentralized
    • Globalization is Just the Tip of the Iceberg
    • Data Steward Roles & Responsibilities
    • Evolutionary Database Development
    • Unwired Tap – July 2005
    • The Database Report – July 2005
    • DAMA Corner – July 2005
    • Meta-Data Trends & Technologies – July 2005
    • The Meta-data Professional Organization: Helping You to Get Your Meta-data Initiatives Rolling
    • HIPAA Security & Compliance

  • June

    • Modeling Hierarchies

  • May

    • Eye on TDWI – Baltimore – May 2005
    • The Assertions Approach

  • April

    • Data Modeling & Enterprise Project Management – Part 6
    • CDI: Harnessing the Value of Enterprise Data Part 5
    • CDI: Harnessing the Value of Enterprise Data Part 6
    • Corporate Culture & Document Design Strategy
    • The Business Intelligence Evangelist
    • It is Time to Think Process
    • Data Stewardship Framework – Part 1
    • Support Your Local Metamodeler!
    • The Database Report – April 2005
    • Data Integrity in a New Light
    • Unwired Tap – April 2005
    • DAMA Corner – April 2005
    • A New Way of Thinking – April 2005
    • A Steward is Like a Babysitter: (To Own or Not to Own)
    • Managing an XML Data Model in Your SOA – Best Practices
    • Business Metadata: How to Write Definitions
    • Tackling Data Modelers’ Toughest Challenge
    • Data Strategy Introduction
    • Executive Summary: Enterprise Metadata Framework

  • February

    • Eye on TDWI – February 2005 – Las Vegas

  • January

    • Metadata’s Reservation Service
    • Information Management & Governance Disciplines
    • The Database Report – January 2005
    • Data Mining on a Budget
    • Data Modeling & Enterprise Project Management – Part 5
    • CDI: Harnessing the Value of Enterprise Data Part 3
    • CDI: Harnessing the Value of Enterprise Data Part 4
    • Governance Analysis Using Enterprise Architecture
    • Data Model Quality: Where Good Data Begins
    • Data Vault Series 5 – Loading Practices
    • Unwired Tap – January 2005
    • Designing the Optimal Metadata Tool – Part Two
    • Data Piracy: The Threat From Within
    • Backward Looking Forward: A TDAN.com Retrospect
    • Data Management Policy: A Cornerstone of Data Governance
    • What’s Wrong With The Zachman Framework?
    • You’re Making It Up! Data Modeling – Analysis or Design?
    • Metadata’s Reservation Service
    • Data Modeling Essentials – Third Edition
    • Business Rule Concepts: Getting to the Point of Knowledge – 2 Ed
    • DAMA Corner – January 2005
    • A New Way of Thinking – January 2005

• 2004

  • November

    • DAMA International Salutes TDAN.com on it’s 7th Anniversary
    • Eye on TDWI – November 2004 – Orlando
    • Backward Looking Forward: A TDAN.com Retrospect

  • October

    • CDI: Harnessing the Value of Enterprise Data Part 2
    • In SQL: Unified Heterogeneous Virtual Hierarchical Views
    • The Database Report – October 2004
    • Just the Facts
    • Data Modeling & Enterprise Project Management – Part 4
    • CDI: Harnessing the Value of Enterprise Data Part 1
    • Applying a Document Strategy Model
    • Unwired Tap – October 2004
    • Tag and Post Vs. Data Standardization
    • Modeling Business Rules: Data Driven Business Rules
    • Data Mining and Statistics: What is the Connection?
    • Data Synch for Data Managers
    • Designing the Optimal Metadata Tool – Part One
    • Data Retention – More Value, Less Filling
    • The Information Model & the Data Vault
    • DAMA Corner – October 2004
    • DAMA Corner – October 2004
    • A New Way of Thinking – October 2004
    • EII – Dead on Arrival

  • August

    • The Business – Data Management Partnership
    • The Future of Information Management
    • Eye on TDWI – August 2004

  • July

    • Convergence: The Freight Train’s Coming
    • The Importance of Data Integration
    • The Business Meta-Data Repository
    • Fundamentals of the Capability Maturity Model
    • Keeping Data Private (and knowing it)
    • The Database Report – July 2004
    • Data Stewardship Performance Measurement
    • Meta-Data Repositories Meet Semantics
    • Key Wars: Episode 1
    • In SQL: Processing XML’s Complex Hierarchical Structures
    • System Development Strategies for 21st Century Enterprises
    • Data, Architectures and the Interoperability Challenge
    • The Business Constraint Model
    • Unwired Tap – July 2004
    • DAMA Corner – July 2004
    • A New Way of Thinking – July 2004

  • June

    • Information Quality Management Maturity: Toward the Intelligent Learning Organization

  • May

    • Eye on TDWI – May 2004

  • April

    • Data Modeling & Enterprise Project Management: The Data-based Approach – Part 3
    • Understanding Hidden Subtypes
    • Whenever and Wherever: The Document is Critical to Society
    • In XML: Using SQL to Link Below the Root – Part 1
    • Modeling Business Rules – What Data Models Cannot Do
    • Business Rules Validation
    • Aggregates Location: A Rule of Thumb
    • Data Warehousing Ethical Concerns: Security, Access and Control
    • Managed Meta Data Environment (MME): A Complete Walkthrough
    • Job Wanted: The Data Quality Analyst
    • What XML Means
    • How to Learn Data Modeling
    • Unwired Tap – April 2004
    • DAMA Corner – April 2004
    • METAbits – April 2004
    • A New Way of Thinking – April 2004
    • Do You Trust Your Data Enough to Risk Your Neck?
    • The Database Report – April 2004

  • February

    • A Story of Too Many Tools
    • Eye on TDWI – Las Vegas February 2004

  • January

    • The Database Report – January 2004
    • Data Modeling & Enterprise Project Management Part 2: Function-Based Approach
    • In Praise of Intelligent Keys
    • The Role of Government in IT Standards
    • Data Integration and Sharing, Part Two
    • Modeling Business Rules: What Data Models Do
    • Enterprise Business Integration: A Bi-Directional Approach
    • Data Vault Series 4 – Link Tables
    • Meta-Data Silos
    • Assuring Semantic Consistency for Data Interchange
    • The Business Rule Approach: Changing the Face of Data Models, Part Three
    • One of the Biggest Secrets in Meta-Data Delivery
    • Issues in Automated E-Commerce and the Semantic Web
    • A Semantic Web Primer
    • Unwired Tap – January 2004
    • DAMA Corner – January 2004
    • A New Way of Thinking – January 2004

• 2003

  • November

    • Eye on TDWI – November 2003

  • October

    • The Database Report – October 2003
    • Data Modeling & Enterprise Project Management: Part 1 – Estimation
    • Importance of Definitions
    • Iterations of Database Design
    • Data Integration and Sharing – Part One
    • The Issues of the eBusiness Infrastructure
    • Grid Computing and the Enterprise: Myth or Reality
    • Nanotechnology and Data Warehousing: Nano-Warehousing
    • Data Warehousing at the Speed of Business
    • Capability Maturity Model Part 2: Overview of the Six Levels
    • Universal Acceptance
    • A Progress Report From MIT Information Quality Conference
    • Part 2: The Business Rule Approach: Changing the Face of IT Methodology
    • Unwired Tap – October 2003
    • DAMA Corner – October 2003
    • METAbits – October 2003
    • A New Way of Thinking – October 2003
    • Of Course IT Matters

  • August

    • Data Management Maturity
    • Eye on TDWI – August 2003

  • July

    • IRM Test Number 2 – What Can We Do to Change
    • Are You Building a Dry Stone Wall?
    • Do Metadata Repositories Manage Our Systems?
    • Comprehensive Metadata Management
    • Minimizing Action Distance
    • The Role and ROI of Enterprise Schema Management
    • The Database Report – July 2003
    • Part 1 – The Business Rule Approach: Changing the Face of Business
    • IDMA Focuses on Data Ownership
    • Setting the Record Straight: Introduction to Data Rules
    • Data Publishing Architecture for the Extended Enterprise
    • Capability Maturity Model (CMM): An Introduction
    • Unwired Tap – July 2003
    • DAMA Corner – July 2003
    • METAbits – July 2003
    • A New Way of Thinking – July 2003

  • May

    • Eye on TDWI – San Francisco – May 2003
    • Benchmarking SQL Application Programming Interfaces

  • April

    • A Conceptual Meta-Model for Unstructured Data
    • Data Modeling, Left and Right
    • Web Services Evolution
    • Tera-Scale Data Appliances for Business Intelligence
    • Architecture for the Ages: Optimal Data Migration / ETL Solutions
    • Storing Smarter: Enterprise Active Archiving
    • Data Vault Series 3 – End Dates and Basic Joins
    • Data Value Domains
    • DBAs! You Should Fear XML!
    • A Meta Data Repository Is The Key To Knowledge Management
    • Databases need to do the job better – without having to upgrade.
    • Why Data Quality is Undermining Business Success
    • The Database Report – April 2003
    • DAMA Corner – April 2003
    • METAbits – April 2003

  • January

    • The Database Report – January 2003
    • Standard SQL
    • UML 2 for Dummies
    • DB2 Developer’s Guide – 4th Ed
    • DAMA Corner – January 2003
    • METAbits – January 2003
    • A New Way of Thinking – January 2003
    • Mind Your Language
    • Why a CIO Isn’t
    • Grammar of Business Rules: Part Three
    • Enterprise Architecture & Ptechs Framework
    • Meta Data Repository: A System That Manages Our Systems
    • ROI for Data Quality
    • Data Vault Series 2 – Data Vault Components
    • Avoiding Problem Solution Confusion
    • Making Your Entities Behave
    • Frameworks, Meta-Data Repository & the Knowledge Worker
    • The BIS Roadmap

• 2002

  • November

    • Enterprise Architecture & Popkin’s System Architect
    • Data Management & Information Quality
    • Data Management is More Important Now Than Ever
    • Product Review – Popkin Software’s System Architect

  • October

    • The Database Report – October 2002
    • DAMA Corner – October 2002
    • METAbits – October 2002
    • Mars Orbiter Disaster – A Failure of Data Management
    • Stewardship in 3-D: De Facto, Discipline, & Database
    • Measures of Data Model Value
    • A Profile of Adaptive Addressing
    • Getting Down to Data Basics
    • IT Portfolio Management
    • A 3D Software Architecture Framework
    • Graphical Patterns for Data Models
    • Finding Meaning in Systems
    • Email Archive Management

  • July

    • The Database Report – July 2002
    • Business Rules Grammar Part 2 – Thingee Business Rule Classification Scheme
    • Top 10 Underutilized Call Center Software Capabilities
    • Are You Measuring Up? IT’s Time for an Accounting
    • Impossible Data Warehouse Situations: Management Issues
    • Putting the Data Back in Data Architecture
    • The Denormalization Survival Guide Part 2
    • Business Intelligence and CRM: Staying Alive in the New Economy
    • Declarative Not Narrative
    • Data Vault Series 1 – Data Vault Overview
    • Meta Data Repositories: Where We’ve Been and Where We’re Going
    • DAMA Corner – July 2002
    • METAbits – July 2002
    • And Where do XML Tags Come From?
    • A Universal Person and Organization Data Model

  • April

    • The Database Report – April 2002
    • DAMA Corner – April 2002
    • Business Rules Spotlight – April 2002
    • METAbits – April 2002
    • So You Survived the Disaster – Did Your Company?
    • Data Warehousing & ERP – A Combination of Forces
    • Be Careful What You Ask For With Consultants
    • Business Rules Grammar Part 1
    • To Buy a Repository Or Not to Buy a Repository?
    • What is VLDB? Very Large Databases Part 3
    • Model Driven Information Architecture
    • The Denormalization Survival Guide – Part I
    • A Repository Model – Business Rules (Action Assertions)
    • Doing .NET Right … Looking at the Critical Success Factors
    • Practically-Oriented Conceptual Model for OLAP
    • Applying Dimensional Analysis to Business Intelligence Systems

  • January

    • The Database Report – January 2002
    • Requirements Analysis: From Business Views to Architecture
    • Guidelines to Implementing Data Resource Management, 4th Ed
    • Database Administration – The Complete Guide to Practices and Procedures
    • Business Rules Applied
    • Beyond “E”: 12 Ways Technology is Transforming Sales and Marketing Strategy
    • Agile Modeling: Effective Practices for Extreme Programming and the Unified Process
    • DAMA Corner – January 2002
    • Business Rules Spotlight – January 2002
    • What is a Business Rules Approach?
    • Which Should Come First – the Chicken or the Egg?
    • What is VLDB? – Very Large Databases Part 2
    • E-Commerce Vs. Data Management
    • Architecting for CRM
    • A Repository Model – Business Rules – Part I
    • Enterprise-Wide Project Management
    • Introduction to Web Services
    • Know Your Document Constituency
    • Competitive Intelligence – Real-Time Knowledge Management
    • Profitability and Mining Web Data: Avoiding the Path to Red Ink

• 2001

  • November

    • Event Progress Diagrams
    • A New Direction for Data Resource Management

  • October

    • The Database Report – October 2001
    • DAMA Corner – October 2001
    • Business Rules Spotlight – October 2001
    • Techniques for Modeling As-Is Processes (Part Two)
    • The Importance of the Data & Knowledge Management Specialist
    • Meta Data Architecture Fundamentals
    • What is VLDB? Very Large Databases
    • Debunking the CRM Myth
    • The Single Customer View: A Valuable Tool or a Narrow Definition?
    • Adam Smith and the Software Industry
    • Enterprise Architecture: The What’s and How’s
    • The Co-Existance of Digital and Paper Documents
    • The Reference Data Challenge for Data Administration
    • Benefits of Creating Ensembles of Classifiers
    • Meet the New Information Architects

  • July

    • The Database Report – July 2001
    • DAMA Corner – July 2001
    • Business Rules Spotlight – July 2001
    • A Disaster Crying for Solutions
    • Techniques for Modeling As-Is Processes (Part One)
    • Borrowing From OO
    • Meta Data ROI: The Evolution of Business
    • Accumulative E-Business Intelligence
    • A Column by Any Other Name is Not a Data Element
    • The Role of XML in Business Re-Engineering
    • Where Does a Document Strategy Fit in the Corporate Picture?
    • Enterprise Information Portal Revolution
    • If You Wish to Change the World, Start with Yourself: An Alternative Metaphor for Object Interaction

  • April

    • The Database Report – April 2001
    • Business Rules Spotlight – April 2001
    • Using Knowledge Management Tools to Reduce Risk in Professional Service Engagements
    • Business Impact of Knowledge Management
    • The Foundation of Excellent Performance
    • Practical Data Administration
    • Understanding Legacy-to-Package Data Movement
    • Top Mistakes to Avoid When Building a Data Warehouse
    • Dealing with De-Normalization of Lookup Tables
    • Defining the Requirements for a Business Rule Repository
    • Is SQL a Real Standard Anymore?
    • Geospatial Data Mining for Market Intelligence
    • Practical Tips for Ensuring Data Quality in Global Data Warehouses
    • The Growth of Digital Information
    • ERP II – Deja-vu?

  • January

    • The Database Report – January 2001
    • Butterfly Ballots Flustered Floridians
    • Writing Effective Use Cases
    • The Complete Idiot’s Guide to Knowledge Management
    • Slack
    • Practical International Data Management
    • Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design
    • Enterprise Knowledge Management: The Data Quality Approach
    • Data Warehousing and E-Commerce
    • Data Quality: The Field Guide
    • Data Model Resource Book, revised volume 1 & 2
    • Corporate Information Factory – 2nd Edition
    • Meta Data as a Knowledge Management Enabler
    • The Importance of Names
    • Independent Data Marts – Part 2
    • The E-Commerce Data Dream Team
    • Understanding and Overcoming the Unavoidable Error and Variation in Identity Data
    • A Repository Model – The Object-Oriented Design Model
    • Data is Executed Policy
    • The Importance of Architecture for Enterprises
    • The Framework for Enterprise Architecture
    • Perspective and Abstraction
    • The Time Has Come for Enterprise Data Quality Management
    • Data Quality Starts at the Front Line

• 2000

  • October

    • Teaching Data Management in MIS
    • Knowledge Management: It’s Not All About the Portal
    • Denormalization and the Rules of Reconstruction
    • How to Avoid the Two Extremes of Data Quality Software
    • The eDBA and Data Availability
    • Business Rules in Data Warehousing
    • Independent Data Marts – Part 1
    • A Repository Model – The Relational Design Model
    • E-Biz Metrics
    • Measuring the Quality of Models
    • Data Warehouse Failures

  • July

    • The Last, Best Place to Integrate the Enterprise: Why Organizations Need an Enterprise Data Warehouse
    • An Update on the Database Wars
    • How To Do a Data Warehouse Assessment (And Why)
    • Advanced Metadata Architecture
    • A Repository Model – The Analysis Model
    • A New Paradigm for Successful Acquisition of Information Systems
    • Secrets of Software Maintenance
    • Demystifying Document Strategy Design
    • Managing Metadata Within and Across Warehousing Efforts
    • From Ugly Duckling to Swan
    • Satisfying the User

  • April

    • Y2K Post Mortem
    • Business Processes and Logical Process Modeling – An Overview
    • Critical Success Factors for Data Warehouse Engineering Part 2
    • A Framework for Characterizing Knowledge Management Methods, Practices & Technologies
    • The E-Dilemma
    • Data Model Views
    • How Much Can Data Analysis be Automated?
    • Nine Steps to Successful Customer-Centric Databases
    • The Knowledge Advantage – Maximizing Data Quality in the Data Warehouse Through Enterprise-Wide Understanding
    • Through the Looking Glass

  • January

    • What Not How: The Business Rules Approach to Application Development
    • Mastering Data Modeling
    • Managing Reference Data in Enterprise Databases
    • Essential Oracle 8i Data Warehousing
    • e-Business Readiness
    • E-Business and ERP: Transforming the Enterprise
    • Data Warehouse Project Management
    • Data Resource Quality – Turning Bad Habits Into Good Practices
    • Building Corporate Portals with XML
    • Building and Managing the Meta Data Repository
    • Business Requirements Gathering – An Overview
    • Questions Metadata Can Answer
    • A Simplified Approach to Information Stewardship (Revisited)
    • Extraction, Transformation, and Load Issues and Approaches
    • XML & EDI – Peaceful Co-Existence
    • Make vs Buy – The Data Movement Dilemma
    • Critical Success Factors for Data Warehouse Engineering Part 1
    • Web Mining
    • Top 10 Mistakes to Avoid When Developing a Metadata Repository
    • Knowledge Management
    • The Impact of Technology
    • Entities, Attributes and Elements: What Language(s) Are We Speaking?
    • Reinvent Yourself

• 1999

  • September

    • Information Systems Plan:
    • The Emergence and Potential of Enterprise Information Portals (EIPs)
    • The Next Level of Information Systems
    • Repository Directions – Part Two
    • Comparing Replication Technologies
    • Creating A Project Plan
    • Performance Measurement:
    • Ok, So What is this XML Thing?
    • Digging Up Dollars with Data Mining- An Executive’s Guide
    • Data Archeology
    • SQL Server 7.0 – A Consultant’s Perspective
    • XML: Catalyst for Convergence?
    • Untangling Spaghetti (Real World ODSs)

  • June

    • Use the Millenium to Your Technical Advantage
    • Data Warehouse and the ETL Tool
    • Systems Architecture:
    • Data Resource Management Certification Programs
    • Doubts About El Dorado:
    • Applying the IT Component-Framework Model to Data Interface Management
    • How A Lack of Project Management Can Sink A Data Warehouse Project
    • DAMA International Symposium and Technology Transfer Institute (TTI) Metadata Conference in Atlantic City, New Jersey – April 1999
    • Object Orientation and Information Engineering:
    • Meta Data and XML for Business
    • A Component-Based Knowledge Management System
    • Customer Relationship Management Begins With Enterprise-Wide Data Quality
    • Repository Directions – Part 1
    • A Headhunter: Not an Executive Recruiter

  • March

    • Best of Times – Worst of Times
    • IT-Driven Data Warehousing:
    • Data Warehouse:
    • Defining Data Visualization
    • What is Knowledge and Can it Be Managed
    • Unsupervised Adaptive Clustering for Data Prospecting and Data Mining
    • Documenting Meta Data Transformations
    • Object Orientation and Information Engineering:
    • Oracle 8.04 Performance Enhancements
    • Data Warehouse Applications by Industry
    • Selecting the “Right” Meta Data to Manage
    • Problems with Conventional Meta Data Management Methods
    • Great News – The Relational Model is Dead
    • Human Resources: The Forgotten Treasure

  • January

    • Improving Data Warehouse and Business Information Quality
    • DB2 for OS/390 Development for Performance
    • Database Magic with Ken North
    • Building the Operational Data Store, 2nd Ed
    • A Model for Data Resource Management Guidelines

• 1998

  • December

    • Using Levels of Abstraction to Name Data Elements
    • Data Administration: Part of the Problem?
    • Enterprise Architecture: What and Why?
    • Using Check Constraints to Simulate Domains
    • When I Learned About Entities
    • Document Renaissance
    • Building a Better Data Model
    • DBAs Don’t Need Meta Data
    • Object Orientation & Information Engineering:
    • Data Warehousing: Enabling the Strategic Shift to a Customer-Centric Business
    • Neglected no Matter how you Spell it

  • September

    • Meta Data Themes – Part Two
    • Proactive Performance for the Data Warehouse
    • Achieving Enterprise Data Quality
    • Database Objects: The Foundation Stones of Enterprise Database
    • Object-Orientation and Business-Driven Information Engineering
    • A Component Framework Model for Information Technology Arcitecture – Part Two
    • Tools for a Comprehensive Database Environment – Part 2
    • The DNA of Data Warehousing
    • Formal Model-Driven Development Methodology
    • Practical Advice for Managing Poor Warehouse Performance
    • Data Warehousing Perspective: It IS NOT A Technology
    • Data is Alpha and Omega

  • June

    • Data Model Evaluation Workplan
    • Advanced Data Model Patterns
    • A Component Framework Model for Information Technology Architecture
    • The Enterprise Data Model: A Key Ingredient for Successful Data Warehousing
    • Tools for a Comprehensive Database Environment – Part 1
    • Change Management
    • Data Admin Position Responsibilities
    • Data Wise Perspective: We’ve Been Out Of Focus
    • Meta Data Themes – Part One – The Basics
    • Transforming Business Through Data Quality Improvement
    • Database Architectures (Part 2)
    • Seven Keys to Selecting a Decision Support Consulting Firm

  • March

    • Database Architectures (Part 1)
    • A Project Model is a Constrained Subset of an Enterprise Model
    • Patterns and the Zachman Framework
    • What’s in a Name?
    • Justification for an Enterprise Model
    • Enterprise Information Architecture
    • The Warehouse Meets the Web
    • Meta Data the Answer, What Was Question?
    • Productivity Paradox
    • Top Ten Principles of DB Performance Tuning
    • Modeling Realities: Communicating Consensus

  • January

    • The Practical Guide to BPR Using IDEFO
    • Oracle8 Data Warehousing
    • Oracle: The Complete Reference
    • If Only We Knew What We Know; The Transfer of Internal Knowledge and Best Practice
    • Foundation for Object-Relational Databases: The Third Manifesto
    • Data Mining Techniques: For Marketing, Sales, and Customer Support
    • Data Mining: A Hands-On Approach
    • customers.com

• 1997

  • December

    • Components of a Data Warehouse
    • Information Usefulness
    • Specifications: Pointing the Way
    • The Competitive Armageddon: Survival and Prosperity in the Connected World of The Internet
    • A Misplaced Data Warehouse Group
    • Outsourcing: Scourge or Salvation?
    • Attribute & Column Naming Standards: The Zachman Framework Solves A Problem
    • Perspective: Will the Real Repository Please Stand Up
    • Data Warehousing: A Short Overview
    • Pre-Decision Support
    • Top Ten Tips for Data Warehouse Success
    • Capability Maturity Model from a Data Perspective

  • September

    • Data Warehousing Strategies: Providing Insulation from Packaged Application/Legacy Systems
    • System Architecture: Jargon or Strategic Weapon
    • IRM: Data Administration VS. Database Administration
    • Data Stewardship: Process for Achieving Data Integrity
    • How to Build a Solid Foundation for Your Warehouse
    • Objects and Business Views
    • The Role of NIST in SQL Standardization
    • Data Administration and the Internet
    • Grade School Lessons: Applied in Technology

  • June

    • Denormalization Guidelines
    • Using a Repository to Support Y2K Compliance
    • The Zachman Framework: An Introduction
    • Achieving Harmony Between Business and Information Technology
    • The Meta Data Interchange Specification
    • How to Protect the Data Warehouse Using the Repository
    • A Simplified Approach to Information Stewardship
    • Hitching Your Wagon to a Star
    • Database Marketing: Technology-Enabled Advantages in the Nineties
    • How to Implement a Meta Data Strategy
    • How to Create a Data Administration Mission Statement

  • January

    • The Data Model Resource Book
    • Data Warehousing, Data Mining & OLAP
    • Data Warehouse: Practical Advice From Experts
    • Data Stores, Data Warehousing, and the Zachman Framework

• 1996

  • January

    • The Data Warehouse Toolkit
    • Implementing a Corporate Repository
    • Data Model Patterns: Conventions of Thought