Webinar: Put an End to Your Data Quality Problems

Dirty data is one of the most expensive and frustrating problems in business today. It breaks dashboards, derails KPIs, misguides decisions, and eats up hours in cleanup and rework.

But it doesn’t have to.

Join us for Part 1 of our new webinar series and learn how EasyMorph’s visual toolkit can help you explore and validate data quality issues all without writing a single line of code. Whether you’re a data analyst, a BI specialist, or someone who simply wants to trust the numbers in your reports, this session is designed to get you from messy data to clear insights fast.

What’s Covered in Part 1 - June 25, 2025

Topic 1: Data Exploration

Presented by Matt Fryer, Technology Evangelist at EasyMorph

Learn how to analyze, explore, and profile your datasets interactively no matter where they are coming from. Matt will guide you on how EasyMorph helps you identify data issues before they cause damage:

• Column and cell profiling to find outliers and type mismatches.
• Visual data exploration with filtering facets and charts.
• Filtering workflows and exporting issues with context.
• Quick spot-checks with CSViewer (if you don’t have EasyMorph).

Topic 2: Data Validation

Presented by Dmitry Gudkov, Founder of EasyMorph

Now that you’ve found the issues, how do you make sure they don’t happen again? Dmitry will walk you through building reliable data quality pipelines without code:

• Using Halt conditions.
• The “Verify” action and conditional branching.
• Parameter validation and assumptions.
• Mixing multiple validation methods into a pipeline.
• Building scalable validation logic that adapts to messy real-world data.

Live Q&A 10 Minutes

Have questions? Stick around and ask Matt and Dmitry directly.

What’s Coming in Part 2 – July 9, 2025

This is just the beginning. In Part 2, we’ll take it a step further with:

• Data contracts: Define reusable, testable rules to validate datasets anywhere
• Reaction automation: Trigger alerts, sending email notifications, and more when bad data is detected
• Closing the loop: Assign, manage, and track data quality problems resolution

Who Should Attend?

This session is designed for professionals who work with data—whether you’re a:

• BI developer, data engineer, or Tableau/Power BI user tired of Excel’s limitations.
• Analyst spending hours cleaning CSVs or preparing datasets.
• Data-savvy business user who wants more power without diving into Python.
• Current EasyMorph user looking to level up your data quality workflows.

Meet the Speakers

Matt Fryer – Technology Evangelist @ EasyMorph

Matt works closely with customers to solve real-world data challenges. He’ll walk you through how to explore and analyze datasets using EasyMorph’s powerful profiling features.

Dmitry Gudkov – Founder @ EasyMorph

Dmitry will show how to build reliable, flexible validation pipelines using no-code logic that makes your data more trustworthy and your workflows more resilient.

Why EasyMorph?

EasyMorph is a visual tool for anyone who works with data and is looking to increase their data productivity. With EasyMorph, you can manipulate large datasets, clean up messy data, and enforce data integrity using powerful visual drag-n-drop workflows.

Register Now!

Space is limited. Sign up today to learn how to stop chasing bad data—and start solving it.