DataKitchen

FEBRUARY 20, 2025

Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. New Quality Dashboard & Score Explorer.

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC).

Scorecard 180

Scorecard Data Quality Measurement Testing 180

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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Data Quality Metrics Visualization Dashboards 97

DataKitchen

FEBRUARY 17, 2025

No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically As a data engineer, ensuring data quality is both essential and overwhelming. Everyone wants to write more tests, yet they somehow never get it done.

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Data Quality Testing Scorecard Data-driven 187

DataKitchen

MARCH 13, 2025

How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons Data quality has long been essential for organizations striving for data-driven decision-making. Many organizations struggle with incomplete, inconsistent, or outdated data, making it difficult to derive reliable insights.

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Data Quality Scorecard Data-driven Cost-Benefit 193

DataKitchen

APRIL 16, 2025

A New, More Effective Approach To Data Quality Assessments In DataKitchens recent webinar, CEO Christopher Bergh offered a compelling new approach to a timeless problem: how do we improve data quality in organizations where no one truly owns it, everyone needs it, and no one has the authority to enforce change?

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Data Quality Scorecard Testing Sales 154

DataKitchen

DECEMBER 6, 2024

Like an Olympic athlete training for the gold, your data needs a continuous, iterative process to maintain peak performance. We covered how Data Quality Testing, Observability, and Scorecards turn data quality into a dynamic process, helping you build accuracy, consistency, and trust at each layerBronze, Silver, and Gold.

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Data Quality Scorecard Testing Strategy 130