Databook

This update introduces a new review worksheet for software licenses, allowing users to evaluate AI-generated purchasing decisions with supporting evidence side-by-side. The sheet prioritizes the highest-value contracts, tracks human decisions to ensure they are never overwritten, and includes reliability metrics to guide the review process.

This update connects license rate cards to agency pages and introduces a new public page at "/research/digital-reform/licenses/function/{capability}" to view products by their specific function. It also fixes a product undercount display bug and ensures accurate data rendering across the digital reform platform.

Updated the software license data proposal with new evidence from a cross-agency analysis. The updates demonstrate how software licenses bypass existing city categorization systems and strengthen the case for publishing standardized product identities and master agreements to identify cost-saving consolidation opportunities.

This update introduces a new view that groups city software licenses by function across agencies, helping identify redundant software purchases. It also refines the underlying data categorization to prevent unrelated software from being grouped together and ensures generic software contracts are correctly classified by their function.

This update classifies 98% of software purchase data into distinct categories like support, licensing, and hosting to better analyze spending. It adds a new 44-tag capability vocabulary, integrates contract-year pricing context with public rate cards, and establishes a monthly automated schedule to keep the license analysis data refreshed.

This update integrates a new software catalogue API to improve the accuracy of open-source software replacement recommendations. It maps $19.06M in potential software savings, introduces purchase classifications to better evaluate procurement options, and updates the public-facing license replacement review guide with curated, high-confidence alternatives.