Data Ownership and Stewardship Transformation

A forty-hour Pro-level data governance transformation simulation run on a live data ownership transformation board, where you are Chief Data Officer of a bank whose regulator could not trace 13 of 48 figures in its risk report — and a £18.4bn exposure nobody could vouch for — while the catalogue claimed 94% of critical data was owned and only 38% had an owner who had ever said yes; you measure the truth, get 1,480 critical datasets owned by people who accept the role, give them real decisions, trace and fix what they own, carry ownership through a cloud migration and into AI training data, report it honestly, price the next phase at the margin and defend it to the Board.

What you'll learn

• Measure data ownership honestly — accepted owners, criticality by rule, classification against content — and restate an inventory a regulator can rely on.
• Build ownership people accept — owners, stewards and custodians with decision rights over access, sharing, quality and retention — and prove it with lineage, attestation and quality accountability.
• Carry ownership through access governance, a platform migration and AI training data without losing the decisions owners have made.
• Report ownership with indicators that survive challenge, price the transformation at the margin, set appetite and accept residuals explicitly, and win a resolution the Board can be held to.

Sign in to enrol — you can pay by bKash or Nagad, or apply a promo code.