The Overview tab

The Overview tab is automatically created for every table connected to the DQC Platform. It provides a high-level summary of the table’s context, validation activity, and overall data quality trends — making it the starting point for understanding the health of your data.

Table description

At the top of the tab, you can add a description of the table to give context for other users. This description can be:

• Entered manually

• Generated automatically using the AI Assistant

Help other users understand the content and purpose of the table

General Information Section

The General area shows key metadata and insights, including:

• Number of validation calls conducted

• Status of catalog integration (if the table is linked to a data catalog)

• Time saved by using automated rule generation and data checks

Useful for understanding how much automation and connectivity is in place

Quality trend chart

At the bottom of the Overview tab, you’ll find a trend visualization that shows how data quality has evolved over time.

The chart includes:

• Issues – Total number of issues found in the table per run

• Quality Ratio – Percentage of valid rows vs. total evaluated rows

Track improvements or spikes in data issues

You can also select a custom date range to narrow the view to a specific time window — ideal for reporting or analyzing recent changes.

Notes

• The Overview tab is read-only and updated automatically after each data check

• Description and metadata help improve understanding for teams working across datasets

• Learn more: Working with the Rules tab, Rule prediction and how it works, Profiling tab