Capability

Data strategy

Decide what the data is for before building the platform.

Data programmes fail in a familiar way. A platform gets built, everything is loaded into it, and two years later the same questions are still answered in spreadsheets. The missing step is deciding which decisions the data exists to support.

Data strategy

What makes this hard

Every team has its own definition of the same metric, and all of them are defensible.
Ownership is unclear, so quality is nobody's job until something breaks publicly.
The platform was chosen before the questions were written down.

How we approach it

Start from the decisions
List what the organisation actually decides and how often, then work backwards to the data that supports it.
One definition per measure
Agree it, write it down, and make everything else reference it rather than redefine it.
Governance people will follow
Access, retention and lineage designed to be the easy path, because a policy that adds friction gets routed around.

What you should expect

A shortlist of decisions the data is accountable to.
Numbers that reconcile between teams, because they come from one definition.

Where this shows up

Guido

The agentic orchestrator the other products run on.

Guido is the workspace where the agents, tools and data behind every Trazup product live. Discovery, analysis, planning and reporting sit in one place, with the same permissions, datasets and audit trail underneath.