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Data Quality

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Process analysis is only as reliable as the data behind it. ProcessMind gives you a built-in view of your dataset’s quality (through a quality badge on the dataset and a slide-in quality dashboard) so you always know how much to trust your results.

ProcessMind data quality dashboard

Understanding Data Quality Badges

The badge shows a percentage score for the process: the process health score, a CURES composite of conformance, uniformity, rework, efficiency, and smoothness. It is color-coded so you can see at a glance how the process is scoring, and it appears when the dataset is opened in a process context that has a health score.

This is not a cleanliness or completeness score for the dataset file. To judge how clean and complete a dataset is, open the panel and read its overview, attribute coverage, and activity analysis.

Exploring the Data Quality Dashboard

Click the quality badge (or the quality indicator next to your dataset) to open the Data Quality slide-in panel. The panel gives you the full picture:

  • Freshness: how recent the latest event in the data is.
  • Overview: the dataset and its key coverage metrics.
  • Attribute coverage: how complete each attribute is.
  • Activity analysis: how well activities are represented.

From the panel you can also jump to AI data recommendations to find issues automatically.

Improving Data Quality

  • Use the recommendations Process Intelligence Process Intelligence Available with a Process Intelligence seat or higher. Only seats on this plan or a higher one can use this feature. Compare plans : let the AI data recommendations surface issues, then apply the suggested mapping and data improvements.
  • Clean your data: follow the data cleaning and preparation guide for manual fixes.
  • Fix known problems: work through Troubleshooting Data Issues for symptom-by-symptom solutions.
  • Prevent issues upstream: fix the extract itself by following Where to Get Data before the next upload.
  • Re-check after every load: the badge updates automatically, so make a habit of reviewing it.

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