From insight to impact: The powerhouse duo of Usage Analytics and Data Usage in Collibra

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To drive great data governance adoption, data leaders are constantly asking: What datasets matter most? Are teams using the right data? Where should we focus our efforts?

Now with Collibra’s Usage Analytics and Data Usage for Snowflake, you can get clear, actionable insights to understand the importance and usage of your data.

Together, they help data leaders focus ongoing data stewardship efforts and drive greater adoption.

Introducing Data Usage for Snowflake

Data Usage for Snowflake pinpoints the most popular data assets to help data teams prioritize governance efforts. Using real-time insights into which Snowflake data is being used, you can now find your most popular and frequently used data assets, empowering your team to:

Prioritize with precision: Immediately identify your most critical datasets based on actual usage
Maximize your impact: Apply data quality rules, enrich business metadata and build governance workflows for the data that provides the most value
Increase efficiency: Stop wasting valuable time on low-use or irrelevant data and focus your resources where they will make a difference

Data Usage answers the questions about your data assets: Which data is most valuable? Where should we focus our efforts? Which datasets are critical for business operations?

The power of Usage Analytics

Knowing what data is important is one side of the coin, but knowing who is using the platform and how can also help drive greater adoption.

With Usage Analytics, now you can get real-time insights into platform and asset usage to help understand user behavior, drive adoption, and continuously improve your data culture. See which users are engaged and what assets they are interacting with, so you can ensure your data citizens are getting the most out of your data intelligence investment.

Usage Analytics answers the fundamental questions about your data governance program: Is it being adopted? Is it providing value to our users? Which departments or teams are most and least engaged?

Conclusion

Collibra Usage Analytics and Data Usage for Snowflake together empowers data leaders to understand their users and drive greater adoption. By linking platform engagement with data asset popularity, you can now understand how people, process, and data all work together. This lets you optimize resources, build a more resilient data culture, and prove the ROI of their governance program by proactively aligning their efforts directly with business activity.