Request for Information - BEA Statistical Modernization Support

The Bureau of Economic Analysis (BEA), through the Department of Interior's Interior Business Center, is seeking a contractor to provide Statistical Modernization Support services for the BEA Estimation IT System (BEA-EITS) and its underlying architecture. The procurement requires comprehensive Software Development Lifecycle support including developing enterprise statistical data systems, maintaining metadata-driven systems, and supporting critical economic statistics production using the OneBEA architecture. Vendors must demonstrate expertise in data processing, validation, system scalability, risk management, project transition, and knowledge transfer, with specific technical requirements including database schema development, SQL-based software coding, and support for multi-dimensional data analysis of large economic datasets. The Request for Information responses must address 16 detailed questions and are limited to 12 pages, with submissions due by 10:00 AM ET on October 8, 2025. Vendors must classify their business size under NAICS code 541512 (Computer Systems Design Services) with a $34 million size standard.

This procurement does not utilize any set-aside designations and no incumbent contractors are specifically mentioned in the documentation. The contract is structured as a labor-hours effort with an estimated 13,600 total annual hours distributed across various labor categories including Subject Matter Experts, Application Engineers, Programmers, and a Project Manager. The performance work statement indicates a base period with one optional period, with work primarily conducted at the BEA facility in Suitland, Maryland. Key technologies involved include Microsoft SQL Server, Azure DevOps, SQL, Python, R programming languages, and various data formats for processing economic datasets. The contract will require monthly status reports, project plans, transition plans, and technical documentation deliverables for national, international, regional, and other statistical systems.