Data Tiles Framework
Trusted Data Product Framework™
A trusted data product is a packaged, owned and governed unit of data designed around a business decision or process. This framework defines what good looks like and how to deliver it without rebuilding your platform.
Supports the Decision-Driven Enterprise
Trusted Data ProductsBusiness Ownership
This framework operationalizes the highlighted layers of the Data Tiles Decision-Driven Enterprise operating model.
6 min read·For CDO, Data Leader, Architect, Business Executive·Related: Latttice
The business problem
- Data sets are abundant. Trusted, reusable, business-owned data products are not.
- Every team rebuilds what should be shared, and governance struggles to keep pace.
- AI cannot scale without products it can trust.
What good looks like
- Every data product has a clear business owner and a decision or process it serves.
- Quality, lineage, ownership and meaning are visible and verifiable.
- Reuse is the default. Duplication is the exception.
- Trust signals are machine-readable and travel with the data.
The framework stages
- Stage 1
Anchor the Product on a Decision
Start with a named business decision or process, not a data set.
- Stage 2
Design for Business Ownership
Assign a business owner accountable for value, meaning and use.
- Stage 3
Industrialize Build and Governance
Package quality, lineage, ownership and meaning together. Governance is built in, not bolted on.
- Stage 4
Make Products AI-Ready
Add the structure, signals and policies AI agents need to consume data safely.
Where organizations get stuck
- · Treating data products as renamed data sets.
- · Ownership stays inside IT or platform teams.
- · Quality and governance are added late and cannot scale.
How Data Tiles helps
- Latttice industrializes the build of trusted data products without replacing your stack.
- We help business owners take real accountability without becoming engineers.
Executive Guides in this framework
Talk to us about applying this framework.
We help executives sequence the work, prove value early and scale with Latttice and Lenz where it matters.