Subscribe to the Non-Human & AI Identity Journal

Notifications
Clear all

Data usage analytics: what it means for governance teams


(@nhi-mgmt-group)
Member Moderator
Joined: 1 year ago
Posts: 7616
Topic starter  

TL;DR: Pairing Usage Analytics with Data Usage for Snowflake helps leaders identify which datasets matter most, where adoption is happening, and where stewardship efforts should concentrate by using real-time usage signals from Snowflake and platform activity, according to Collibra. The practical shift is from broad governance coverage to evidence-led prioritisation that ties controls to actual business use.

NHIMG editorial — based on content published by Collibra: From insight to impact: The powerhouse duo of Usage Analytics and Data Usage in Collibra

Questions worth separating out

Q: How should data governance teams prioritise datasets when everything looks important?

A: Start with actual usage, not catalogue size or business titles.

Q: Why does platform usage matter for governance adoption?

A: Usage reveals whether governance is being used in day-to-day work or only documented in policy.

Q: What do teams get wrong when they treat all data assets equally?

A: They spread limited governance capacity across assets with very different operational value.

Practitioner guidance

  • Prioritise stewardship by observed usage Rank datasets by real usage, then assign stewardship, quality rules, and review effort to the assets that support active business work rather than broad catalog coverage.
  • Connect adoption metrics to critical assets Map platform engagement to the datasets that matter most so governance leaders can see whether the programme is influencing the right parts of the environment.
  • Use usage telemetry in access review planning Feed high-use datasets into review schedules first, because those are the places where entitlement decisions have the greatest operational impact.

What's in the full article

Collibra's full blog post covers the operational detail this post intentionally leaves for the source:

  • How Usage Analytics surfaces platform engagement patterns across user groups and assets
  • How Data Usage for Snowflake identifies the most popular datasets using real-time usage insight
  • How Collibra positions the combined signals for governance adoption and workflow focus
  • How the product messaging maps usage visibility to stewardship and ROI conversations

👉 Read Collibra's blog on Usage Analytics and Data Usage for Snowflake →

Data usage analytics: what it means for governance teams?

Explore further

View Full Forum →  |  NHI Foundation Course →



   
Quote
Share: