A multi-business-unit organization with strong analytics talent, a mature data platform and a long history of bespoke data projects. Each new initiative rebuilt similar datasets, definitions drifted between teams, and AI use cases stalled waiting for data leaders could stand behind.
Why it matters
Traditional data projects produce assets for one consumer at a time. Decisions and AI need data products with known owners, governed meaning and a stable contract — reusable across BI, applications and AI agents.
What leaders should consider
- Are the data assets behind your most important decisions owned by the business, or assembled in isolation by central teams?
- Can the same trusted product serve a dashboard, an application and an AI agent without being rebuilt?
- Is governance applied to the product, or re-negotiated on every project?
How Data Tiles thinks about it
Latttice gives business owners a product surface where trusted data products are defined, governed and evolved. Lenz consumes those products to build trusted AI on top of them. Together they turn one-off project outputs into a reusable trusted data foundation.
Outcomes to expect
- Reusable trusted data products replacing duplicate project assets
- Decision owners and AI use cases pointing at the same governed product
- A measurable lift in AI readiness, anchored in trusted data — not model count