The Data Product Academy.
An evergreen learning hub for executives, business teams, data leaders and AI leaders — explaining how to think, question, diagnose and act on trusted data products, active governance and AI readiness.
The product pages explain what Data Tiles offers. The Academy explains how leaders should reason about trusted data, decisions and AI — and where the practical levers are.
Cameron is recording this walkthrough — check back shortly.
Walk me through a trusted data product, end to end
Cameron walks through a real Latttice use case — from naming the decision, to standing up a business-owned data product, applying active governance, and putting it in front of executives and AI agents.
Hosted by Cameron Price, Founder & CEO of Data Tiles.
Foundations
Start here. The concepts that everything else in the Academy is built on.
What Is a Data Product?
A working definition for executives, business teams and data leaders — and a clear view of what a data product is not.
Read guide →Why Data Products Must Start With Decisions
Decisions, not available data, are the right starting point. A decision-driven approach to designing trusted data products.
Read guide →Business-Owned Data Products
What it means when business teams can create, own and govern the data products their decisions depend on — without losing control.
Read guide →Data Products vs. Data Sets
A side-by-side comparison — and the architectural shift behind AI readiness. A data set is raw material; a data product is governed, owned and trusted.
Read guide →Cost and Operating Model
Why data product programs become expensive, and what good operating models look like in practice.
How to Build Cheaper Data Products
The most expensive part of a data product is rarely the technology. It is the operating model.
Read guide →Why Most Data Product Programs Cost Too Much
Delivery delays, rework, handoffs and unclear ownership — and how to remove them.
Read guide →What Good Data Product Ownership Looks Like
Ownership is more than a name on a page. The behaviors, roles and accountabilities that make ownership real.
Read guide →Governance and Trust
Active governance, decision-ready data products, and the move from charts to conversation.
Data Products and Active Governance
Governance at the point of creation and use — not as a remediation exercise.
Read guide →Why Dashboards Do Not Create Decision Advantage
From chart to chat. Why decision-ready data products and LattticeGPT change the executive experience.
Read guide →How to Choose Your First Data Product Use Case
Practical guidance for choosing a first use case that is valuable, measurable, achievable and reusable.
Read guide →AI Readiness
Why AI maturity depends on trusted data products, and how to move beyond stalled pilots.
Data Products for AI Readiness
Why AI maturity programs increasingly start with a trusted data product strategy.
Read guide →Why AI Needs Trusted Data Products
Models do not fix data. Trusted data products do.
Read guide →Why AI Pilots Stall Before Production
Pilots rarely fail at the model. They stall on data trust, governance, ownership and workflow integration.
Read guide →