First-Friction Note
Which recurring decision or workflow is creating friction?
The Data-Driven Organization
Becoming data-driven starts with the organization you have.
There is plenty of guidance on what a data-driven organization should look like. The practical challenge is getting there from the systems, responsibilities and constraints you have today. That is why we wrote this book.
People
DataQuality
DataArchitecture
DataGovernance
Automation
AI
Connect the knowledge.
People, Data Quality, Data Architecture, Data Governance, Automation and AI each have their own methods and language. In everyday work, they depend on one another. Progress in one area can make a useful change elsewhere possible.
Bridge the gap between expertise and action.
The people who understand a problem may not control the budgets, priorities or systems needed to solve it. Those making the decisions may not see what the change requires. Understanding both sides is part of making progress.
Find a next step you can put into practice.
Our book, framework and toolkit help you start with a real problem, understand its dependencies and identify the support needed to act. Many small, connected improvements can build the conditions for better use of data across the organization.
Coming soonThe forthcoming book
The book
How to Become a Data-Driven Organization
A Practical Step-by-Step Guide
A hands-on guide to making progress within the organization you have. Start with a problem you can observe, understand what it depends on, and choose a change the people involved can support.
- 01 Understand the system
- 02 Strengthen what matters
- 03 Make progress last
The framework
See what your next change depends on.
A technically sound solution can stall because people lack access, data means different things, or ownership is unclear.
Our framework connects six dimensions. It helps you see what a real decision needs, how the dimensions affect each other, and where a useful next step becomes possible.
Explore the connected framework- People
- Skills, incentives and the authority to act.
- Data Quality
- Information people can trust for the decision at hand.
- Data Architecture
- The connections that make data accessible and usable.
- Data Governance
- Clear responsibilities, decisions and boundaries.
- Automation
- Dependable processes, with support when things go wrong.
- AI
- Useful applications with evidence and human responsibility.
The toolkit
Turn a conversation into a next step.
Fifteen practical instruments help you work through the decisions in front of you. Make the problem clear, bring the right people together, and agree what to do and what to look for next.
Preview the practical toolsSix-Dimensional Dependency Map
Who gains, who carries the work, and what must be in place?
Evidence and Response Brief
What would we need to observe to change our decision?
Work with us
Bring your next challenge to the table.
Work with us on a real data or AI challenge, develop your team’s next step, or bring the discussion to your next event.
Explore ways to work together- Advisory
- Work through a decision and the changes it needs.
- Leadership coaching
- Connect ambition, responsibilities and practical action.
- Workshops
- Apply the framework and tools with your team.
- Keynotes & events
- A perspective your audience can put to work.