Data analytics & business intelligence
Turn your data into decisions you can defend. You get one set of numbers everyone trusts, governed properly, so the meeting is about what to do rather than about whose figures are right.
When the numbers stop matching.
Two departments bring different revenue figures to the same meeting. Reporting is a monthly manual exercise in a spreadsheet. You have collected data for years and cannot answer a straightforward question with it. Or you want to use that data in ways your data protection obligations have opinions about.
One trusted source. Reporting that runs itself.
- 01Establish one source of truth. A data platform with defined ownership, definitions agreed across departments, and lineage you can trace back to the source.
- 02Automate the reporting that currently consumes days each month.
- 03Build dashboards people use, designed around the decisions they need to make, not around every field available.
- 04Govern the data. Classification, retention, access control, and the lawful basis for processing, aligned to Loi 09-08, the NDPA, Law 151, and GDPR where they apply to you.
- 05Forecast and model where the data supports it, and say so plainly where it does not.
Classification serves both jobs at once.
Data classification is the foundation of both good analytics and every data protection obligation you carry. Doing it once serves both, which is why this service sits with the security practice rather than apart from it.
A platform, not just a report.
- 01A data inventory and classification, which doubles as a compliance artefact.
- 02A governed data platform with documented lineage.
- 03Dashboards and automated reporting, with your team trained to extend them.
- 04A data protection impact assessment where the processing requires one.
How long it takes, by scope.
| Engagement | Duration | Outcome |
|---|---|---|
| Data readiness review | 2 – 3 weeks | What your data can and cannot answer today |
| Platform and first dashboards | 6 – 10 weeks | One trusted source, live reporting |
| Ongoing analytics | Retained, monthly | New questions answered as they arise |
Straight answers, before you ask.
How do you stop two departments from bringing different numbers to the same meeting?
By building one source of truth — a data platform with defined ownership, definitions agreed across departments, and lineage you can trace back to the source, so the meeting is about what to do rather than about whose figures are right.
Do you build dashboards for every field we have, or just what we need?
Just what you need. Dashboards are designed around the decisions people actually have to make, not around every field available.
How does this connect to our data protection obligations?
Data classification is the foundation of both good analytics and every data protection obligation you carry. Retention, access control, and the lawful basis for processing are aligned to Loi 09-08, the NDPA, Law 151, and GDPR where they apply to you, and a data protection impact assessment is produced where the processing requires one.
Can you forecast or model future performance from our data?
Where the data supports it, yes — and we say so plainly where it does not, rather than producing a forecast nobody should trust.
How quickly can we see our first trusted dashboard?
A data readiness review takes 2 to 3 weeks and tells you what your data can and cannot answer today. A platform with first dashboards typically follows in 6 to 10 weeks.
Find out what your data can already answer.
Same named analyst, same governance model described above — scoped to your data. No cost, no obligation.
Data analytics & business intelligence.
Request received.
A named analyst will reply within one business day to scope the NDA and the data in view.