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  • 2023

    • 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 (formerly Lego) 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
      • Data Professional Introspective: Your Organization Can’t Create an EDM Strategy
      • 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
      • Data Professional Introspective: The Perennial Question
      • 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
      • Data Professional Introspective: Accelerating Enterprise Data Quality
    • 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

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