A multi-business-unit organization with multiple warehouses, a central platform team and a long backlog of data requests. Business leaders cannot agree on definitions for core metrics and AI initiatives stall waiting for data they can trust.
Why it matters
Every additional month between a decision and the trusted data behind it is a month of guessing, rework and risk. Reducing that cycle time is the single biggest leverage point for data and AI value.
What leaders should consider
- Are data products defined by business owners, or assembled by the platform team in isolation?
- Do owners have a way to publish, govern and evolve products without re-platforming?
- Is reuse rewarded, or does every team build its own version?
How Data Tiles thinks about it
Latttice gives business owners a product surface they can define, govern and evolve. Time to trusted product drops because the work that used to be invisible becomes a managed, reusable capability.
Outcomes to expect
- Trusted product definitions agreed by business owners, not negotiated per project
- Faster onboarding of AI use cases that depend on the same products
- Less duplicate engineering work across business units