Enterprise buyers increasingly evaluate data governance through the lens of AI risk and scalability. They want to know whether governance can keep pace with faster data use, more automated decisions and a wider set of users without creating a bottleneck.
What buyers examine
- Whether governance is embedded into workflows rather than managed separately.
- How access, policy and ownership are enforced across data products and AI use cases.
- Whether lineage and metadata remain visible as data moves through the stack.
- How exceptions and model-related data changes are reviewed.
- Whether the operating model can scale without adding excessive manual control.
What this means for vendors
Buyers are looking for practical control, not governance theatre. Vendors should demonstrate how their solution makes safe data use easier while preserving accountability and auditability. The strongest propositions reduce friction between data, technology, risk and business teams.
Our buyer intelligence is informed by ongoing conversations with senior enterprise leaders through roundtables and leadership communities.