Why you should move from reactive to predictive data quality

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Presented by

Ankur Gupta, Director of Product Marketing at Collibra and Shomit Ghosh, Director of Strategic Advisory at Collibra

About this talk

Watch the fireside chat between Ankur Gupta, Director of Product Marketing at Collibra and Shomit Ghosh, Director of Strategic Advisory at Collibra to learn about a modern approach to data quality and observability that entails: - Detection of ‘known unknowns’ as well as ‘unknown unknowns’ via ML first, rules second approach - Horizontal and vertical scalability for establishing enterprise-wide trust in data - Time series anomaly detection for end-to-end data observability across pipelines
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Since 2008, Collibra has been uniting organizations by delivering trusted data for every use, for every user, and across every source. Our Data Intelligence Cloud brings brings a best-in-class catalog, flexible governance, automated lineage, continuous quality & observability, and built-in privacy to all your data, so you not only know what you have, you understand what it means and can be confident you’re using it in the right way. And no matter where your data is stored or who needs it, your team can easily access and always trust it. That’s why businesses of all sizes all around the world rely on Collibra to create the critical alignment that accelerates workflows and delivers better results faster. For more information, visit collibra.com.