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Webinar

Why you should move from reactive to predictive data quality



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Tuesday, November 2 | 9:00 am PT | 12:00 pm ET | 4:00 pm GMT

As your data continues to grow, both in scale (the number of systems producing data) and volume (the size of the datasets), your confidence in data begins to wane. That’s because you know what’s at stake: failing to ensure high data quality could have serious impacts on your productivity, efficiency, and even revenue. Bespoke, homegrown, and manual data quality solutions aren’t going to get you where you need to be.

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

Register now to secure your spot! If you're unable to attend the webinar live, register anyway and we’ll send you the recording.

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Register today

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Meet our speakers

Ankur Gupta

Director Product Marketing, Collibra

Shomit Ghosh

Director of Strategic Advisory, Collibra