- Services
- Data Analytics Use Cases
You have the data. You're missing what to ask it.
We turn your real business questions into a prioritized, executable path — with quick wins visible in weeks, not months.
Why having data isn't the same as using it
Accumulating data isn't the same as having direction
Initiatives with no clear business owner
Data projects that start from IT, without a business area having defined what decision needs to improve.
Everything looks like a priority, nothing gets prioritized
Without an objective method for deciding which use case to tackle first, everything competes for attention at the same time.
Months of work with nothing tangible to show
Data projects that promise long-term transformation, with no quick wins to build confidence along the way.
Architecture chosen by trend, not real need
A platform or stack is chosen without a real gap analysis of what the actual use case requires.
A 4-phase system, not an isolated workshop
From the business question
to the technical path
DUC-01 — Workshop – A structured workshop to surface the real business questions your team needs answered, not the ones IT assumes.
DUC-02 — Definition – We document each use case in a formal card, with business context, data requirements, and expected outcome — validated and approved by your team.
DUC-03 — Roadmap – We prioritize objectively by impact and feasibility, guaranteeing at least one executable quick win in the first few weeks.
DUC-04 — Architecture – We define the exact technical path: what stack, what effort, and what gaps need to close to build it.
What you receive
An executable path, not a list of ideas
A DUC-CARD for each use case — a formal document with the business question, the data required, and the expected outcome.
A prioritized roadmap — use cases classified as quick win, medium term, or strategic.
An architecture proposal — recommended stack, gap analysis, and estimated effort, ready to move into Data Engineering.
Proof of rigor: DAMA-DMBOK
You're not hiring a brainstorm. You're hiring a method aligned with an international data management standard, with objective and traceable prioritization.
Zero-friction logistics
A 2-4 hour workshop, with documentation and prioritization in the following weeks.
Based on workshops with your business stakeholders — no permanent system access required, and no disruption to operations.
Who it's for
Do you recognize yourself here?
CTO / Head of Data
Has the infrastructure but needs the business to define what to build first.
COO
Knows there's value in the company's data, but no one has translated it into a concrete plan.
Company with data scattered across departments
Each team has its own metrics and no one has prioritized what to solve first at the organizational level.

