Getting the BELT: Empowering Executive Leadership in Data Governance
The expression “Getting the Belt” has several meanings. This phrase most commonly refers to a form of corporal punishment where…
Explaining the Why Behind Data Quality Dimensions
Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a…
Data-Centric: How Big Things Get Done (in IT)
I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then.…
The Importance of a Federated Data Stewardship Approach
In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end…
Through the Looking Glass: Data as Code? Or Data as a Code?
Readers of my column know my aversion to buzzwords.[1] I approach the hot catchphrase “Data as Code” with trepidation. Already,…
5 Best Practices for Data Management in the Cloud
Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs.…
Documenting Critical Data Elements
Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some…
The Art of Lean Governance: Addressing the Elephant in the Room
Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use…
Automating Privacy and Compliance
In the digital age, the deluge of data is relentless. This burgeoning data realm, bolstered by the dawn of generative…
AI Could Save Your Data Governance Program, but It’s Unlikely
In the 1980s, there was a flurry of movies about robots coming to imprison or terrorize humanity. Forty years later,…