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Table – Rules Screen

The Rules tab in the DQC Platform provides an overview of all data quality rules defined for a specific table. It allows users to activate, manage, and create rules—either manually or with the help of the DQ-AI Assistant.

(1) Rule overview per column

Each column with data quality rules is listed in its own section. For each rule, you can see:

  • Rule name (e.g., “Not empty”, “Categorical”)

  • Short description – Describes what the rule checks

  • Status – Indicates whether the rule is active or inactive

  • Issues – Number of current rule violations

(2) Rule management tools

When one or more rules are selected via checkbox, the top action bar becomes active:

  • Activate / Deactivate – Toggle status of multiple rules at once

  • Export – Download the selected rules as a JSON file

  • Delete – Remove selected rules in bulk

(3) Quality status

The top-right panel summarizes the table’s quality metrics:

  • Score – Overall quality score (A–E) from the last table check

  • Issues – Number of issues found

  • Table check scope – Indicates whether a sample or full table was used

  • Rows / columns – Total number of rows and columns checked

  • Active rules – How many of the rules are currently active

(4) Table-based rules

Three table-based rules that are automatically generated:

  • Format – ensures schema consistency by comparing the current table schema with the valid schema.

  • Freshness – Validates whether the data in a date column is up to date—e.g., not older than a defined threshold (e.g., 7 days).

  • Value – Checks whether the number of rows in a table meets a defined minimum or maximum threshold.

(5) DQ-AI Assistant

On the right-hand side, the DQ-AI Assistant can help generate new rules using natural language input.

  • Type a prompt (e.g., “Contract_Number should be mandatory”)

  • The assistant suggests a rule and its logic

  • Click “Apply” to create the rule in the current table

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Table – Rules Screen | DQC