Request for information-IBC datamart archiving

The U.S. Department of Interior's Interior Business Center (IBC) is seeking industry input on archiving strategies for an Oracle 19c production database linked to their IBC Datamart Oracle Analytics Server (OAS) application. The Request for Information (RFI) aims to gather vendor perspectives on managing a comprehensive database containing 30 years of Federal Personnel Payroll System (FPPS) data, which encompasses personnel, payroll, and time/attendance transactions for approximately 900,000 current and former federal employees across 50+ agencies. Vendors are expected to address key performance indicators for determining archiving requirements, provide examples of similar Oracle 19c/OAS archiving implementations, and discuss technical challenges and potential benefits. The RFI requires detailed technical responses addressing the current OAS version (7.0, upgrading to 7.6 in February 2025), database structure with 87,309 fields across 1,278 tables, and operational environment running on Solaris 5.11. Responses are due by March 10, 2025, at 12:00 PM ET, with the potential for two-hour vendor one-on-one sessions planned in April 2025.

The procurement includes no specific set-aside designations, but vendors must identify applicable NAICS codes of 518210 (with a $40M size standard) and 541511 (with a $34M size standard) and any small business designations. IM Solutions Inc. is currently identified as the DOI support contractor assisting with evaluation. The database serves approximately 4,000 users and contains 6.1 TB of historical data, suggesting a substantial scope for potential archiving solutions. While no explicit award value is mentioned, the comprehensive nature of the project and the extensive data management requirements indicate a potentially significant contract opportunity. The IBC's current infrastructure supports a complex data environment with multiple agencies' personnel records, implying that the chosen archiving solution must provide robust, secure, and efficient data management capabilities across a large, intricate federal system.