This document discusses using data modeling to build the foundations for strong data quality. It outlines a process with six steps: [1] defining metadata standards, [2] encouraging collaboration, [3] organizing models and data, [4] enforcing standards, [5] changing organizational culture, and [6] creating a "to be" target state. The key points are that data quality requires treating data as a valuable asset, establishing good metadata and modeling habits, and ongoing cultural changes rather than a single solution.