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Data Quality Dashboards

Get at-a-glance Data Quality insights from Lightup’s native dashboards, or bring your own BI tool to build custom Data Quality dashboards for executive reporting and decision-making.

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Data Quality Dashboards

Get at-a-glance Data Quality insights from Lightup’s native dashboards, or bring your own BI tool to build custom Data Quality dashboards for executive reporting and decision-making.

Lightup Data Quality Dashboards

You’re proactively monitoring metrics in Lightup. You’ve prevented weekend overtime by catching incidents before downstream impact. And now you need to report on Data Quality to show the status and results. Lightup provides built-in dashboards for at-a-glance Data Quality health insights, such as:
  • Total number of monitors and monitored tables
  • Accuracy, completeness, timeliness
  • Overall health score
  • Custom metrics

Custom Data Quality Dashboards

For organizations that prefer their own BI and analytics tools, Lightup supports custom Data Quality dashboards using popular enterprise applications, including:
  • Power BI
  • Tableau
  • Apache Superset
  • Any BI or analytics tool that connects to Postgres

How It Works

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Dashboard-Ready Schema

Lightup enables access to a structured schema designed for business intelligence (BI) and analytics, allowing your team to create dashboards and reports with Lightup metrics, such as:

  • Daily data incidents by source
  • Active vs. failed monitors
  • Count of failing records
  • Metric and monitor names

Executive Data Quality Dashboards

Executives don’t need dashboards or reports showing every Data Quality metric — they need an aggregated view of data health that tells them if the business can trust the data.

Key data health metrics for executive dashboards include:

  • Data freshness and timeliness for high-value pipelines
  • Overall Data Quality score
  • Severity status of incidents 
  • Trends by product, department, or data source
  • Daily/weekly incident volume by source
  • Percentage of rules passing vs. failing over time
  • Top problematic data sources
  • Percentage of critical assets monitored

These metrics give executives a clear signal on whether they can trust the data and where to focus organizational effort.

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