Your customers want answers from their data, not another dashboard, another export, or another tool to learn. But building and maintaining analytics in-house can quickly become a drain on engineering resources, slowing product development and pulling teams away from what truly differentiates their product. So when does it make sense to build, and when is it smarter to embed? In this session, ThoughtSpot’s Katrin Rösing and Jette Dieckmann explore how product teams can turn analytics from a maintenance burden into a competitive advantage. Drawing on real-world examples from onlyfy by XING and Verivox, they’ll show how embedded, AI-powered analytics can help teams accelerate development, empower users to self-explore data, and deliver richer product experiences without reinventing the BI stack. You’ll leave with a clearer framework for evaluating build vs. buy, identifying where your engineering effort creates the most value, and making data-driven experiences a differentiator rather than another feature to maintain.