Everything we have written about data governance.
A practical checklist for improving data quality, with accuracy, completeness, freshness and duplicate checks you can run in a spreadsheet or SQL, plus simple monitoring ideas.
A lightweight data governance model any team can start this month: named data owners, a shared metric dictionary and simple access rules, plus a 30-day rollout plan.
A step-by-step guide and template for writing a data retention policy, covering data categories, US retention periods to check, deletion procedures and legal holds.
What a data catalog is, the 3 kinds of metadata it holds, the features that matter, how it differs from a data dictionary and how to roll one out without it going stale.
A practical 6-step process for finding, cleaning, permissioning and documenting your company's data before any AI project, so the tools give accurate answers and don't leak what they shouldn't.
What master data management is, how golden records for customers and products are built, the 4 MDM styles, and how to tell whether your business actually needs it.
Data mesh changes who owns data. Data fabric changes how it is connected. A side-by-side comparison, who each approach suits and how to tell whether you need either one.
Self-service analytics gives teams direct access to data. Here's how it works, why it often produces 3 versions of "revenue" and the setup that keeps everyone on one number.