Data Product Ownership Playbook

The part most programmes skip

Building a data product is hard. Keeping it alive is harder. Most data products degrade not because of technical failure, but because nobody is clearly responsible for their ongoing care. This playbook addresses the gap between "shipped" and "sustained."

What's inside

• What ownership actually means — the four accountabilities every data product owner carries
• The Data Product RACI — a ready-to-use responsibility matrix covering nine key activities across four roles
• A decision framework — three tiers that clarify who decides what, so nothing stalls and nothing breaks
• The operating rhythm — daily, weekly, monthly, and quarterly cadences for keeping products healthy
• When and how to deprecate — signals, process, and communication for retiring products gracefully

Federated ownership, not central bottlenecks

The most effective model places ownership with the domain team — Finance, Supply Chain, HR — while the central data team provides infrastructure and standards. This guide shows you how to make that model work in practice.

Who it's for

Data leaders, governance teams, and anyone responsible for data products after the project team moves on. The advice is platform-agnostic and drawn from real programmes across SAP and non-SAP environments.