Treating data as a product works when you fuse continuous discovery habits (Teresa Torres: outcomes, opportunity solution trees, assumption testing) with a platform that enforces contracts, SLOs, and governance (catalogs, open table formats, policy-as-code, observability). The result: faster iteration with lower risk, measurable consumer value, and fewer data swamp traps. What “Data as a Product” … Continue reading Data as a Product