If your data product doesn’t start with ‘why,’ it will end with ‘disaster.’
Most teams define what they build before why they build it. They describe schemas, APIs, and SLAs, everything except purpose.
A data product isn’t valuable because it exists. It’s valuable because it enables a decision, a process, or a measurable outcome.
Skip the why, and you’ll get beautifully engineered deliverables nobody uses. Start with why, and the architecture writes itself: ownership, access, governance, all shaped around value, not vanity.
Good data architecture starts with intent. The rest is just plumbing.
What’s the “why” behind your last data product?
