Data Tiles
Cameron Price, CEO & Founder joins John Goode in Raleigh, NC, sharing business-led data products, AI-readiness, and the Decision-Driven Organization with customers and partners
Expanding across the United States — John Goode, Chief Revenue Officer, based in Nashville, is accelerating customer ROI on AI initiatives alongside partners nationwide
New office opened in North Carolina, USA
Latttice, the Data Product Workbench for Collibra is now live on the Collibra Marketplace
New product launch: Lenz, the AI Agent Factory
New product launch: Collibra Analyzer, a Collibra Health Check
Cameron Price, CEO & Founder joins John Goode in Raleigh, NC, sharing business-led data products, AI-readiness, and the Decision-Driven Organization with customers and partners
Expanding across the United States — John Goode, Chief Revenue Officer, based in Nashville, is accelerating customer ROI on AI initiatives alongside partners nationwide
New office opened in North Carolina, USA
Latttice, the Data Product Workbench for Collibra is now live on the Collibra Marketplace
New product launch: Lenz, the AI Agent Factory
New product launch: Collibra Analyzer, a Collibra Health Check
Decision-Driven

The Missing Step Between Data-Driven and AI Ready.

From Data-Driven to AI Ready, there is an essential step in between.

What is Decision-Driven?

A category, not a campaign.

The Decision-Driven Methodology is the proprietary transformation framework developed by Data Tiles to help organizations move from Data-Driven to AI Ready.

We believe a Decision-Driven Enterprise is one that understands which decisions create value, what information those decisions require and how trusted data is made available at the point of decision. This is the foundation of responsible AI.

Why it matters

Most enterprises are stuck between two destinations.

The gap is not data, it is decisions.

Organizations have spent a decade becoming Data-Driven and are now being asked to become AI Ready. The work that closes the gap is decision work, not platform work.

Trusted decisions require trusted data.

AI inherits the trust of the data underneath it. Without governed, fit for purpose data behind the decisions that matter, AI cannot be relied on at scale.

Business decisions should drive data strategy.

Data programs that lead with platforms produce capability without impact. Decision-Driven inverts that order, so investment follows outcomes.

The Decision Value Chain

How strategy becomes trusted decisions and AI value.

Each stage of the methodology produces a defined outcome that becomes the input to the next — strategy informs decisions, decisions demand trusted data, trusted data is packaged into governed products, and those products become the surface AI can safely consume. Every link is supported by an executive assessment, a framework and a clear path to execution.

The Decision Value ChainStrategy → Decisions → Trusted Data → AI Value
  1. DD-0101

    Business Strategy

    A clear set of outcomes, priorities and value drivers the business is willing to be measured on.

    Produces →A named set of outcomes the rest of the value chain is accountable to.
  2. DD-0202

    Business Decisions

    A documented map of the decisions that move outcomes, the people who own them, and the information they require.

    Produces →A prioritized list of decisions and the information they need to be made with confidence.
  3. DD-0303

    Trusted Data

    Data with known meaning, provenance, quality and governance, available at the point of decision.

    Produces →A trusted data foundation ready to be packaged into reusable, business-led products.
  4. DD-0404

    Trusted Data Products

    Reusable, governed, business-owned products that deliver trusted data to the decisions and AI that consume them.

    Produces →A portfolio of governed products that stay trustworthy in use — provided governance is active, not passive.
  5. DD-0505

    Active Governance

    Policy enforced in the flow of work, so every decision and AI consumption point inherits trust by construction.

    Produces →Trusted, governed surfaces that AI can consume safely at enterprise scale.
  6. DD-0606

    AI Readiness

    AI use cases tied to real decisions, real outcomes and the trusted products that support them.

    Produces →A board-ready view of where AI value is real, blocked or premature — the input to a practical roadmap.
  7. DD-0707

    Decision-Driven Roadmap

    A sequenced, fundable plan that connects strategy to trusted decisions, products and AI value.

    Produces →A plan ready to be operationalized — turned into running products and trusted AI through Latttice and Lenz.
  8. DD-0808

    Latttice Activation

    Running, governed data products in production — measured by the decisions they improve, not the pipelines they replace.

    Produces →A stable surface of trusted products for AI agents and assistants to consume.
  9. DD-0909

    Lenz AI Factory

    AI assistants and agents that inherit trust, lineage and ownership from the products they run on.

    Produces →Trusted decisions and trusted AI, running together, in the same enterprise.
  10. DD-1010

    Decision-Driven Enterprise

    Measurable outcomes, trusted AI in production, and a business that leads its own transformation.

Inputs
Strategy & Decisions
Substrate
Trusted Data
Assets
Data Products & Governance
Output
Trusted AI & Outcomes
How the Methodology Helps

Diagnose. Decide. Deliver.

From Methodology to Execution

The methodology explains what needs to change. Latttice and Lenz make that change possible.

Latttice enables organizations to create trusted, governed, fit for purpose data products around the business decisions that matter most.

Lenz enables organizations to build trusted AI assistants and agents on those governed data products.

Together, Latttice and Lenz operationalize the Decision-Driven Methodology.

Executive Perspectives

How Data Tiles leaders think about transformation.

The methodology belongs to Data Tiles. The perspectives belong to the people behind it.

Featured Perspective

Every Decision-Driven Transformation Begins by Understanding Where You Are Today

By Cameron Price, Founder & CEO

Cameron Price explores why the journey from Data-Driven to AI Ready requires an essential step in between: becoming Decision-Driven.

Decision-Driven Transformation6 min read
Start Your Decision-Driven Journey

Every transformation begins by understanding where you are today.

Take the first executive assessment and begin building your Decision-Driven roadmap.