This document discusses using data analytics to increase city revenue from property taxes. It notes that cities have large amounts of citizen data from various services but it is siloed. It proposes matching and analyzing data across agencies like utilities and tax records to identify properties not paying taxes, detect tax fraud, and validate exemptions. Pilot programs in cities are suggested to test analytic models for progressively improving outcomes and increasing property tax collection.