Dashboards often break not because of visualization tools, but because of upstream data changes. Schema updates, renamed fields, or modified logic can quietly invalidate metrics and force teams into reactive maintenance work.

Genesis addresses this by automating the work that connects data pipelines to analytics outputs.

Using agents and missions, Genesis can generate dashboards based on structured, governed data models rather than ad-hoc queries. Dashboards are built on top of the gold layer and semantic models, which means metrics are defined once and reused consistently across reports.

When upstream data changes occur, Genesis agents understand the relationships between tables, models, and dashboards. Instead of leaving analysts to manually track and fix breakages, the system can identify impacted assets and update them in a controlled way.

‍

What This Enables

• Dashboards stay aligned with the underlying data model
  
• Metric definitions remain consistent across teams
  
• Changes propagate safely from pipelines to reports
  
• Less reactive maintenance for data and analytics teams
  
  

By automating the connection between data engineering work and analytics delivery, Genesis reduces friction between teams and shortens the time from data change to updated insight.

The result is a more reliable analytics layer that scales with your data platform and evolves as your business changes, without creating ongoing operational drag.