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As organizations progress in managing data products, Step Two raises a common but critical question: Who owns which data? This question often remains unanswered, creating confusion and blocking progress. To address this, a clear domain model must be established.

Within any enterprise, some data assets are central to business operations, while others—though seemingly less critical—remain essential due to compliance requirements. The decision then becomes whether data ownership should reside with a central data team, with individual business domains, or through a hybrid model involving both.

Choosing the Right Ownership Model

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There is no one-size-fits-all answer. Each domain may require a different model. What matters most is being intentional and transparent about which model is used. For every data product, it should be crystal clear whether the work is joint, and if so, who is responsible for what.

Ownership ambiguity is widespread. It’s a problem often encountered in practice and workshops. Solving it is a vital step toward effective data governance.

Key points

1. Start where pressure is real: Pick domains with urgent business pull and leaders willing to invest.

2. Make ownership explicit: For every product, be clear what is central, what is domain, and what is joint.

3. Match ambition to capacity: One domain done well beats five domains done superficially.

Start Small and Strategic

To pick the right starting domains, use a simple “critical data products” lens:

This keeps domain activation grounded in business value instead of org charts.

Start Small and Strategic

Rather than defining all domains at once—a process that can waste time and resources—it's smarter to start with a few key areas. Focus on domains where: