Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024

Announcing Actionable, Automated, & Agile Data Quality Scorecards

Written by Chris Bergh on March 26, 2025

DataOpsData ObservabilityDataOps TestGenOn-Demand WebinarOpen Source
Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024

Key points

  • Data quality behaves like a tragedy of the commons: everyone grazes on the shared source data, nobody owns keeping it clean, and once it has degraded it is hard to reverse.
  • A data quality leader has influence but little power to cause change, so the job is persuasion. Chris Bergh takes Dale Carnegie's principles one at a time and maps each onto a data quality practice.
  • Don't boil the ocean. Handing someone 1.6 million problems across 4,000 tables is not actionable; a dashboard scoped to the 16 fields a VP of sales needs for a revenue priority is.
  • Multiple dashboards, not one company score — one per customer, whether that is a VP of sales, a CFO with 37 critical data elements for compliance, or a machine learning engineer with one model.
  • Scores have to sit on fixable items. TestGen builds them from generated hygiene issues and data quality tests, and each failure exports as a PDF issue report carrying the column, the time, and the SQL that finds the affected rows.
  • Show the trend. A January score next to today's score is how a data quality person demonstrates the change they caused, and both the tests and the data can move it.

Are you ready to unlock the power of influence to transform your organization’s data quality—and become the hero your data deserves? 🚀

Watch the previously recorded webinar unveiling our latest innovation: Data Quality Scorecards, powered by our AI-driven DataOps Data Quality TestGen software. This is your chance to take the easy button to organizational influence with a free, open-source tool. It connects to your data, learns, and uses AI to identify 51 specific data quality issues. It automatically creates data quality scorecards where you can drill into specific issues and send detailed issue reports to the responsible party.

Discover how to create custom scorecards for different data types, user groups, programs, and goals—designed to make your data quality improvement journey effortless and measurable. Satisfy your boss, that pesky data scientist, compliance team, and business leadership by using technology to drive specific intelligent improvements to your data and maximize your personal influence.

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Chris Bergh

Chris Bergh

CEO and Head Chef at DataKitchen. He is a leader of the DataOps movement and is the co-author of the DataOps Cookbook and the DataOps Manifesto.

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