PubSec organizations often face a reporting problem: the same metric calculated differently across departments creates conflicting answers and erodes trust in data. Fixing it typically means massive data migration projects that carry high cost and risk, or accepting the status quo where “single version of truth” remains out of reach.

An Enterprise Data Analytics and Reporting System provides a unified logic layer that sits above existing systems. It defines business logic once and deploys it everywhere, pulls insights from multiple data sources without centralizing them, and provides AI with auditable lineage while respecting constitutional separation of powers and existing system sovereignty.

This model RFQ includes:

• A ready-to-use RFQ shell covering unified business logic, federated architecture, AI readiness with lineage, and integration expectations
• Attachment A with baseline functional requirements for the logic layer and federated querying
• Language you can use as-is or adapt to your data sources, compliance frameworks, and modernization approach

Use it to issue a formal RFQ, align program and IT teams on shared business logic, or evaluate vendor proposals against requirements that prioritize definition alignment over infrastructure replacement.

Built for IT leadership, data governance teams, and program managers working to eliminate conflicting reports and improve AI readiness in environments with siloed systems and complex legacy infrastructure.