Treat data as an asset, with an owner and a plan.
We help you decide which data matters most, who owns it and how it should be managed, so data supports decisions instead of creating work.
Everyone agrees data is important. Nobody owns it.
Reports disagree because they use different definitions. Data quality is everyone's problem and no one's job. New tools are bought, but the data that feeds them is the same.
The result is a reporting burden, not a source of value.
Data creates value when it changes a decision.
A data strategy is not a list of technologies. It starts with the decisions that matter most, pricing, planning, which customers to pursue, and works back to the data they need.
Governance then makes sure that data has an owner, a definition and a quality level the business can trust.
From the decisions that matter to the data that supports them.
- 01
Start from decisions
The business decisions where better data would change the outcome, ranked by value.
- 02
Assess today's data
What data exists, where it lives, how good it is and who looks after it.
- 03
Set the governance
Owners, definitions, quality rules and a simple forum to keep them alive.
- 04
Plan the roadmap
The data, platforms and skills needed, in steps that each pay back.
What you hold at the end
- 01
A data strategy
Which data matters, why and in what order.
- 02
Clear ownership
Owners and definitions for your key data.
- 03
A data roadmap
Steps, budgets and quick wins.
Talk to a partner, not a sales team
Tell us which decision you wish you had better data for. Marco Bjørslev Jensen, Founding Partner, takes the call.
Marco Bjørslev Jensen
- 01Tell us where you are
A few lines are enough. No brief needed.
- 02Marco gets back to you
Personally, not through a sales team.
- 03A first conversation
About where you are and where to start.