Everyone wants clean data. But few teams have a process to keep it that way. Incoming data needs to be checked. Team data needs to be verified. Final reports need to be trusted. And if you skip any part of that chain, things break—quietly and often without warning.
Bad data doesn’t just cause errors: it wastes time, leads to poor decisions, and derails everything from dashboards to AI.
In Part 2 of our data quality webinar series, we’ll show you how to detect, react to, and resolve data quality issues using simple, no-code tools built into EasyMorph.
What’s Covered in Part 2 - July 9, 2025
![]() Matt Fryer Technology Evangelist @ EasyMorph |
Detect: Set Expectations with Data ContractsYou can’t fix what you don’t define. That’s why Part 2 starts with Data Contracts: a lightweight way to define what “good data” actually looks like. Matt will introduce the EasyMorph Contracts Toolkit, and show how to:
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Dmitry Gudkov Founder @ EasyMorph |
React: Trigger Alerts When Something’s OffWhen something goes wrong, you need to know right away and act. Dmitry will walk through how to set up automatic alerts and actions when data breaks your rules. You’ll learn how to:
Resolve: Track and Close the LoopSpotting the issue is just the beginning. EasyMorph helps you track, assign, and resolve data problems. We’ll cover how to:
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Live Q&A – 10 Minutes
Stick around at the end and ask Matt and Dmitry your data quality questions live.
Why This Matters
Data quality isn’t just a technical problem. It’s a business blocker. When your data is wrong, every report, dashboard, and decision built on it is off.
Most tools can help you detect an issue. Some might help you react.
But only EasyMorph gives you all three: detect, react, and resolve in one simple no-code platform.
Who Should Attend?
This session is for anyone who needs to make sure their team’s data is reliable:
- Analysts and Business Intelligence teams
- Data engineers
- Sales, Finance, and Ops managers
- EasyMorph users looking to level up data quality workflows
No technical background required!
Want to Catch Up on Part 1?
Catch the recap: Webinar: Managing Data Quality - Part 1
