This document discusses different techniques for validating data models, including verification versus validation, why and what to validate, the base of validation, and specific validation techniques. The key techniques discussed are team review, simulation, direct application, and testing. Team review involves both formal and informal peer review steps. Simulation validates the model by simulating real-world conditions. Direct application builds and tests a model in stages. Testing establishes a baseline and uses a test-driven approach to validate changes.