Business intelligence and steering by indicators
Equip a management team with indicators it actually uses.
- Block code
- DATA-VIZ
The format
Three months, two hours a day.
- Certificate programme · 128 h
- Two hours a day
- 250,000 F — the same fee for all sixty
- All in the same format, at the same fee.
The qualification
A CQP under MINEFOP accreditation.
- Leads to the CQP — Certificat de Qualification Professionnelle, which the ministry used to call the AQP.
- Awarded under MINEFOP accreditation.
- The full programme for the same profession remains open to anyone aiming for the complete qualification.
Sessions
A new session opens every quarter.
Next intake: Monday 5 October, with enrolment open until 2 October. The following one starts on 4 January 2027.
- First-quarter intake — enrolment closes on 2 October5 Oct.
- Second-quarter intake — 20274 Jan.
Objectives
What you will be able to do.
Translate a management objective into measurable, documented indicators
Write an indicator sheet: formula, scope, source, frequency
Recognise an indicator that has become a target, and its perverse effects
Map an SME's data sources and build its shared reference data
Refresh a warehouse incrementally and manage access rights
Build interactive dashboards and distribute them
Document, train users and hand over the system
Programme
Four modules.
Module 0132 h Module 0232 h Building an SME data warehouse
Module 0332 h Advanced dashboards and distribution
Module 0432 h Governance, documentation and handover
Who it is for
Who it is aimed at.
- Learners who have already worked with data and a business intelligence tool — in practice those who have completed AI-augmented data analyst. The block is also aimed at management controllers already in post.
Afterwards
Where it leads.
- Head of performance management, BI analyst, dashboard consultant. This is the block that turns a one-off analysis into a management system.
Method
How it works.
Systematic alternation between short theory sessions and practical work, with most of the time spent on practice
Progression from simple to complex: each module builds on what was learnt in the previous one
Realistic role-plays drawn from Cameroonian business cases
Considered use of generative AI as a working tool, in line with the common core
Regular formative assessments and a final integrative project drawing on all four modules
Assessment
How you are assessed.
Formative assessment at the end of each module (graded role-play and practical exercises)
Practical work assessed against competency sheets
Final integrative project, presented and defended before the trainer
One graded assignment per module in the online course space
Tools
What you work with.
Power BI or Metabase — modelling, measures and distribution
SQL and a reconstructed SME data warehouse
A living documentation and change-log tool
Spreadsheet for indicator mock-ups
Keep exploring
In the same field.
Join the next session
Ready to get started?
Sessions open every quarter. Apply now or request the detailed brochure — our advisers will get back to you.