Too many initiatives, no common direction
BI, integrations, registers and new services are moving at the same time. The team needs one logic for sequencing them.
Advisory
Start with the decision. Then design the data around it
I start with the decision the team needs to make. From there we work backwards into data, systems, ownership and the changes that are actually worth funding.
When this becomes a problem
Data Strategy
A technology has been selected before the problem
A modern platform does not fix a vague management question. The decision and the operating model come first.
The plan has to survive scrutiny
Leadership or a funding partner needs to see dependencies, risks, data requirements and a realistic path to delivery.
What we work on
What the work covers
We can start with one difficult decision or map the full data landscape. The point is to make the next move clear, not to produce a strategy document that sits on a shelf.
- Review the current data, reporting and system landscape.
- Define a target data and analytics model linked to management decisions.
- Prioritise initiatives by value, risk, dependency and delivery effort.
- Build a roadmap with clear stages, owners and readiness criteria.
- Provide an independent review of an existing strategy or technical concept.
How I work01 02 03 04
How I work
Start with the decision
Agree what should change in the organisation, not which tool to buy.
Trace the data
Review sources, quality, exchanges, reporting and gaps.
Cut what is unnecessary
Not every problem needs a new platform. Sometimes ownership, rules or a better model is enough.
Sequence the work
Make clear what happens now, what comes later and what each step depends on.