# Federal HHS Agency Modernizes Data Platform

An unnamed federal health and human services organization modernized more than 16 petabytes of data using a platform involving Snowflake and GDIT, with reported query-time reductions of more than 50%. The modernization supports fraud, waste, and abuse detection and illustrates agency interest in governed, interoperable data platforms that can support AI while reducing vendor lock-in. No solicitation, contract value, or procurement contact was identified, so this is market intelligence rather than an active bid opportunity.

- Procurement teams can use the reported scale and query-time improvement as reference points when defining performance measures for future data-platform requirements.
- Contractors pursuing federal health data work should emphasize governance, interoperability, analytics performance, and reduced vendor lock-in in offerings relevant to fraud, waste, and abuse detection.

**Jurisdictions:** federal
**Industries:** Healthcare, Information Technology
**Topics:** Digital Infrastructure, Artificial Intelligence
**Published:** October 14, 2026

### Government Entities
- Large federal health and human services organization (unnamed)

### Vendors
- Snowflake ()
- GDIT ()

### Key Quotes
> You need to be able to do it in a system that houses your data and can provide the context and the semantics associated with that data.
> — Jennifer Chronis, Vice President of US Public Sector Sales at Snowflake

### Sources
- [
        What high-performing agencies do differently with data - Federal News Network](https://federalnewsnetwork.com/federal-insights/2026/10/how-agencies-can-squeeze-more-value-out-of-their-data) - Federal News Network