Snowflake and ICF: Unlocking Data Value for the Public Sector
A federal health program modernized its data infrastructure with ICF and Snowflake, cutting ETL time by over 75% and reducing costs by 80%, while aligning with agency strategy.
A large federal health program faced operational bottlenecks due to its legacy data platform, which incurred high costs and hindered real-time decision-making. The organization required a transition that maintained business continuity while modernizing its data foundation. ICF and Snowflake provided a cloud-native, scalable, and secure environment to address these challenges. The collaboration resulted in significant performance improvements and cost reductions, enabling the program to meet its operational and strategic goals.
Before the migration, the program relied on a replica of its parent agency’s integrated data repository, which caused delays in data processing and unnecessary complexity. The parent agency had already adopted Snowflake, creating a misalignment with the program’s data architecture. ICF and Snowflake executed a phased, zero-downtime migration from Redshift to Snowflake, ensuring uninterrupted mission-critical reporting. The solution included direct access to enterprise data, Snowflake-native security, role-based access controls, and enterprise-scale data sharing to support collaboration across agencies.
The modernization effort delivered faster access to trusted data, enabling better and timelier decisions that directly impact public health outcomes. By reducing ETL bottlenecks and making enterprise data readily available, the program is now positioned to adopt advanced analytics, machine learning, and AI-driven capabilities. The shift demonstrates how cloud-native data modernization can deliver value and support innovation in federal health organizations.
ICF and Snowflake collaborated to help the federal health program modernize its data infrastructure with confidence. The partnership combined Snowflake’s AI Data Cloud with ICF’s domain expertise to reduce risk and accelerate outcomes. The effort underscores the potential of partner-led, cloud-native solutions to transform data management in highly regulated environments.