Data Quality Platforms And Rule Management

Overview

Use this skill when the question is not only what checks to write, but how the quality program should operate across tools, teams, and publish stages. It helps agents design rule ownership, severity, evidence, and enforcement across multiple quality frameworks.

When to Use

• selecting or combining data-quality tools
• designing rule portfolios and severity models
• aligning dbt tests, Great Expectations, Deequ, Cuallee, Soda, or warehouse-native checks
• deciding what blocks publish versus what raises warnings
• improving long-term maintainability of data-quality controls

Do not assume more checks automatically improve quality. The operating model matters as much as the framework.

Workflow