Featuring 

Monte Carlo-1

 

Broken data got you down? You are not alone. We’ve met hundreds of data teams that experience broken dashboards, poorly trained ML models, and inaccurate analytics — and we’ve been there ourselves. We call this problem data downtime, and we found it leads to sleepless nights, lost revenue, and wasted time.

Learn how to automatically detect data problems in minutes. Learn how to know when data breaks using ML-generated and custom rules, instantly conduct root cause analysis on common data issues and scale your data team and make incident management easier.

During this session, we’ll show how Data Observability can help you to:

  • Know when data breaks using ML-generated and custom rules
  • Instantly conduct root cause analysis on common data issues
  • Scale your data team and make incident management easier

Glen Willis- Monte Carlo

Glen Willis

Experienced Solutions Architect with a demonstrated history of success working in SAAS, specifically the Analytics space. Skilled in Python, JQL, Analytics, and bridging the gap between customer feedback and Product. Master’s degree in Product Development Engineering from University of Southern California.

Register for the webinar