Data Tiles pushes decision-first approach to trusted data for AI teams

Data Tiles Founder and CEO Cameron Price says AI is exposing the gap between business decisions and the data that supports them. The company is pitching a decision-driven model that keeps technical complexity hidden while giving business teams governed, reusable data products.

Why it matters: - AI assistants and agents need trusted context at the moment a question is asked or an action is taken. - Data Tiles says organizations can no longer rely on fragmented reports, manual searches or specialist teams to bridge the gap between data and decisions. - A decision-first model could let business users, BI tools, applications and AI systems reuse the same governed data product instead of rebuilding context each time.

What happened: - Data Tiles Founder and CEO Cameron Price presented at the 3rd Industry Summit on Data Product-Oriented Architectures at Antwerp Management School in Belgium. - Price argued in his talk, “Stop Building Data Products in the Data Team,” that teams should start with the decision and work backward to the data. - He said the traditional model places the decision at the “last mile” after data moves through source systems, data teams, data products and reports. - Price used a claims assessor named Sarah as an example of a business user who needs trusted context, not another dataset, to decide whether a claim should be investigated.

The details: - Price said decision-driven design starts by asking what decision needs to be made, what context is required, what evidence supports it and what outcome is expected. - He said technical metadata, relationships, semantic meaning, security, access controls, lineage, policy enforcement, auditability and lifecycle governance still need to exist behind the scenes. - Data and governance teams remain responsible for trusted source access, reusable foundations, policies, standards and controls. - Price compared the model to driving a car: the data team needs confidence that everything under the hood works, while the business team needs to turn the key and get on the road. - Data Tiles says its zero-code, AI-powered Data Product Workbench, Latttice, brings technical and business metadata together to create semantic understanding while preserving security, access controls and governance. - Data Tiles says Latttice is designed so complexity is abstracted away while control remains in place. - The company says the same governed data product can be reused across BI, applications, workflows, AI assistants and agents. - Data Tiles describes its approach as “Create Once. Govern Once. Use Everywhere.”

Between the lines: - The pitch reflects a broader shift in enterprise data strategy: business teams want direct access to governed context, while data teams still need control, traceability and compliance. - Price’s comments suggest AI is raising the cost of slow or fragmented data access because machines cannot compensate for missing context the way people can. - The message also positions Data Tiles as infrastructure for organizations that want business users to build with trusted data without becoming data engineers.

What’s next: - Data Tiles is inviting organizations to explore a decision-driven approach to data products and connect with Price on LinkedIn. - The company is also directing readers to learn more about Data Tiles and Latttice. - Data Tiles says its platform is intended to complement existing enterprise data infrastructure and support trusted data use across BI, applications, AI and agents.

The bottom line: - Data Tiles is betting that AI will force companies to move from data products built for systems to data products built for decisions.