Health Plans: Your BI Tells You MLR Moved. Can Your AI Tell You Why?
Databricks, Friday, September 11th, 2026
Moving health plan analytics from reporting that a medical loss ratio changed to explaining what drove it.
This post addresses a specific analytics gap for health plans: conventional BI reports that the medical loss ratio moved, while explaining why requires analysis across claims, membership, utilization and pricing data that typically takes an analyst days of extract-and-spreadsheet work.
The article describes using AI over a unified data platform to produce attribution rather than observation. The pattern generalizes to any domain where the reporting layer answers what happened but the organization needs to know why, which is most of them.