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Technology & Modernization

MAF/TIGER Cloud Modernization & Geospatial Transformation

Modernizing the nation’s geospatial data infrastructure for Census operations.

Key outcomes

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01 · The challenge

The map behind every count.

The Census Bureau’s national repository of addresses and geographic boundaries underpins nearly every Census operation, from field data collection to tabulation. Its accuracy shapes population counts, boundary lines and how resources are allocated across the country. The system was built for an earlier era, and the Bureau needed a clear path to a modern, scalable environment without putting that data’s integrity at risk. With the 2030 Census on the horizon, the Bureau needed a modernization plan grounded in evidence rather than assumptions.

02 · The solution

A roadmap built on evidence.

We started with a data-driven assessment of the current system and its applications, documenting how it was hosted and accessed and which components it depended on. From that baseline, we designed logical and physical cloud architectures and validated our recommendations through analyses of alternatives and proof-of-concept testing to confirm they were secure, cost-effective and high performing. Our modernization roadmap combines commercial and open-source technologies to improve scalability, interoperability and the speed of geospatial data operations. Throughout, we worked closely with the Bureau’s technical and architecture teams, keeping every recommendation aligned with the enterprise architecture.

03 · The impact

Ready for 2030.

Our work established the foundational architecture and validated roadmap for moving the Bureau’s address and geographic data to a modern, cloud-native environment. It strengthens geospatial accuracy and data integration, linking address-referenced survey data with geographic attributes for collection, geocoding and analysis. The Bureau now has a clear, tested path to readiness for the 2030 Census.

A validated roadmap to a modular, cloud-native system

Stronger geospatial accuracy and data integration

A foundation for 2030 Census readiness

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U.S. Small Business Administration

© 2026 BLN24