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Documentation Index

Fetch the complete documentation index at: https://docs.elementary-data.com/llms.txt

Use this file to discover all available pages before exploring further.

There are two ways to manage test coverage in Elementary:
  • Test Coverage screen — a visual overview of coverage across all your assets and dimensions, with the ability to add missing tests directly from the UI
  • Test Recommendation Agent — analyzes your pipeline, lineage, and existing tests to suggest what’s missing and where, then adds tests on your behalf
Use the screen to get a high-level picture and act on gaps in bulk. Use the agent when you want coverage recommendations driven by context — patterns, lineage, and asset criticality. The Test Coverage screen in the Elementary Cloud catalog gives you a full picture of your data quality coverage across assets and dimensions.
Slack alert format

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What It Shows

Each asset is evaluated across seven data quality dimensions:
  • Freshness
  • Completeness
  • Uniqueness
  • Validity
  • Accuracy
  • Consistency
  • Other
For each asset, you’ll see:

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What You Can Do from This Screen

From the Test Coverage screen, you can:
  • Filters by asset properties, test name, critical assets, and coverage ranges.
  • Select multiple assets and seamlessly add your missing tests with just a few clicks
  • Jump directly to any asset in the catalog to review its details
  • Gain insight into gaps by grouping assets across dimensions like domain, pipeline, tag, or owner—making weak spots easy to identify. (Coming soon)
  • Export the results to CSV

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How Coverage Calculation Works

The test coverage score is calculated based on 7 dimensions of data quality. The first 6 core dimensions each contribute 15% to the total score. The 7th dimension, labeled “Other,” accounts for the remaining 10% and is primarily used for business logic tests that don’t align directly with any specific core dimension.

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Upcoming Features

  • Customizable Weights: You’ll soon be able to tailor the weighting of each dimension to align with your organization’s unique priorities and testing standards.
  • Custom Coverage Rules: Define your own coverage criteria to better identify tables that do not meet your internal standards. This will make it easier to spot gaps and maintain consistent data quality practices.

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Test Recommendation AI Agent

Alongside the Test Coverage screen, you can also use our Test Recommendation Agent to help you improve test coverage. Together, the coverage screen and the agent give you visibility and guidance to focus your efforts where they’ll have the most impact.