Before you can personalize, automate, or scale with AI, you need data you can actually trust. See how companies tackled the unglamorous but essential work of building a healthy data foundation: cleaning up fragmented sources, establishing shared standards, and getting teams aligned on a single source of truth. Learn what it took to move from reactive fixes to a durable data infrastructure, and why that groundwork is what makes every downstream initiative, from marketing to measurement, actually work.