Healthcare & life sciences · Databricks
Flo Health: Building a better future for female health
Public case study · not a Metric Oak engagement
- Increase in internal monthly active users of the platform
- 45%
- Analytics experiments run per quarter
- 400
- Increase in overall employee engagement on Databricks
- 46%
What happened
The story in brief
The world's leading women's health app, used by tens of millions of people, wanted more of its staff to work with data directly. Expanding self-service on Databricks greatly increased internal platform usage and engagement.
See the full healthcare & life sciences benchmarkPlanning something similar?
AI-ready data
Governed, retrievable data for GenAI, RAG and agents. Senior engineers, fixed scope, measured results.
Related case studies
Healthcare & life sciences · Databricks
Austin Health30K+
Patients using COVID Care remotely
Healthcare & life sciences · Databricks
Bayada~30%
Better workload performance and cost efficiency compared to Snowflake
Healthcare & life sciences · Databricks
CodaMetrix30%
Reduction in AWS compute costs
Related insights
Frequently asked questions
What results did Flo Health report?
Flo Health reported 45% increase in internal monthly active users of the platform; 400 analytics experiments run per quarter; 46% increase in overall employee engagement on Databricks, according to its customer story published by Databricks.
Which platform and technologies did Flo Health use?
Flo Health used Databricks, including Unity Catalog, Delta Lake, Databricks SQL, MLflow, Genie, Databricks Apps.
How do these results compare with other healthcare & life sciences programs?
See our healthcare & life sciences benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Databricks: Building a better future for female health (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
Have 30 minutes? Get a senior architect’s view of your data platform.
No sales deck. You talk to the engineer who would lead the work.
Book an architecture review