A field guide for real organizations

How to Become aData-DrivenOrganization

A Practical Step-by-Step Guide

Build the conditions for better decisions. Start where you are, see what matters, and make progress that lasts.

Dr. Mariana HebbornProf. Dr. Heiko BeierDr. Jan-Hendrik Weinert
Coming soonThe forthcoming book
Front cover of How to Become a Data-Driven Organization: A Practical Step-by-Step Guide, by Dr. Mariana Hebborn, Prof. Dr. Heiko Beier and Dr. Jan-Hendrik Weinert.
A Practical Step-by-Step GuideENGLISH EDITION
01People02Data Quality03Data Architecture04Data Governance05Automation06AI
The starting point

Your organization
doesn’t have to
be ready.

Two teams disagree about the same number. A promising pilot has no one to run it. One specialist holds a critical process together.

This book starts with the work you can already see. It helps you understand what gets in the way, connect the right capabilities, and choose a useful next change.

See the system behind the problem
The framework

Six dimensions.
One connected system.

Each dimension changes what is possible in the others. Explore one connection at a time.

A question to bring to your work

Can people use data and act on it?

Skills matter. So do time, access, authority, incentives, and the freedom to question a result. Responsible data use has to fit the work people actually do.

Data Governance gives authority for People. Clear authority gives people room to act on data and challenge decisions when something is wrong. This is an illustrative dependency, not a complete assessment.PeopleDataGovernancegives authoritybrings judgmentOne real decisionwith a defined purpose and context
One connection: Clear authority gives people room to act on data and challenge decisions when something is wrong.
The decision is the starting point.

Each change depends on more than one dimension. The connections shown here are examples. They do not mean every decision needs automation or AI, or that all six dimensions need the same level of development.

Authors’ synthesis. Illustrative dependencies, not a company score.

Explore the full framework
Inside the book

One connected argument.
Your own way through.

Fifteen chapters, six dimensions, and a practical toolkit. Enter where the work needs you.

01Chapters 1–4

Understand the system.

Start with a real decision. Follow the friction, see the dependencies, and choose the next useful change.

02Chapters 5–10

Strengthen what matters.

Enter through People, Data Quality, Data Architecture, Data Governance, Automation, or AI. Work on the contribution your decision needs.

03Chapters 11–15

Make progress last.

Connect delivery, reuse, responsibilities, evidence, and renewal. Return to the next decision with what you have learned.

Three equally useful ways in

Follow the argument / Start with your problem / Open a practical tool

The practitioner toolkit

Bring a better
question to
the table.

Practical instruments help you prepare a real conversation or decision. Start with the lightest record that helps the work.

01

First-Friction Note

Turn a broad ambition into one observable decision problem.

Which recurring decision or workflow is creating friction?
02

Six-Dimensional Dependency Map

See what a change needs from each dimension and what it changes for others.

Who gains, who carries the work, and what must be in place?
03

Evidence and Response Brief

Connect an important claim to evidence and a responsible response.

What would we need to observe to change our decision?
From the book to your organization

Make your next
decision a better one.

Bring the framework into a leadership conversation, a workshop, or your next event.

Work with us