Is the Scope of Data Governance Enough?
Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality,…
data quality
The Art of Lean Governance: Future-Proofing During Times of High Uncertainty
Current economic forecasts predict that the odds of a global recession will increase in 2025 due to various factors. A…
Data Governance: Policies, Procedures, and Benefits
Data governance is a framework of rules, processes, and practices that ensure the effective management and utilization of an organization’s…
Data Speaks for Itself: The Enterprise Architecture Medical Clinic
Note: For this issue, I have invited one of my students as a special guest contributor, Jason Minton, to be…
Data Professional Introspective: The Final Retrospect
If you’ve been part of the data management and governance world for any amount of time, you’ve likely come across…
The Art of Lean Governance: Moving Beyond Governance Buzzwords and Bling
This column will expand on a Systems Thinking approach to Data Governance and focus on process control. The vendors of…
Data Speaks for Itself: Data Quality Management in the Age of Language Models
Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My…
The Challenges of Data Migration: Ensuring Smooth Transitions Between Systems
Data migration — the process of transferring data from one system to another — is a critical undertaking for organizations…
Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over…
Data Speaks for Itself: Data Validation – Data Accuracy Imposter or Assistant?
In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published…