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Description

Data and AI: Framing the Question, Reading the Results and Deciding in Your Role

Using figures and artificial intelligence tools without making them say more than they actually say

  • 1 day — 7 h
  • In-person or virtual
  • Intermediate
  • Up to 6 participants

Dashboards have multiplied yet decisions are not based on them. The indicator on display does not answer the question the business is actually asking. A variation is commented on without knowing whether it stands out from the usual noise. Artificial intelligence tools produce convincing answers that nobody knows how to verify.

This 7-hour day is designed for business roles rather than data specialists. Participants learn to formulate a decision-oriented question and then identify the data able to answer it. They build reflexes for reading results and recognising the limits of models. The day closes with integrating these elements into their everyday decisions.

Learning objectives

  • Formulate a decision-oriented question that can be translated into data analysis
  • Identify the data available and assess its quality
  • Interpret a variation by distinguishing signal from ordinary fluctuation
  • Distinguish an observed correlation from a cause-and-effect relationship
  • Use an artificial intelligence tool while verifying what it produces
  • Formalise a decision by making explicit the evidence behind it

What makes this programme different

The decision questions brought by participants provide the working material for the day
Misleading charts are analysed to build sound reading reflexes
A real decision is revisited and documented with the data genuinely accessible

Programme

1Framing the question and locating the data

Starting from the business need rather than the tool

  • Turning a business problem into an analysable question
  • Identifying the data available and where it comes from
  • Simple quality checks and handling missing data
  • Selecting indicators that genuinely answer the question asked

2Reading results and models

Questioning the obvious

  • Reading a distribution and understanding dispersion
  • Distinguishing ordinary variation from a significant deviation
  • Correlation
  • causation and hidden factors
  • Selection bias and the effects of how data is collected
  • What an artificial intelligence model can produce and what it overlooks

3Deciding and embedding the practice

From result to action

  • Moving from a quantified finding to a decision you stand behind
  • Considered use of artificial intelligence tools in everyday work
  • Verifying the answers produced and tracing sources
  • Presenting an analysis to senior management or to a team
  • Monitoring the effects of the decision taken

Who is it for

Operational managers · department heads · team leaders and project officers who wish to base their decisions on the data available to them.

Prerequisites

Regular use of dashboards or activity reports in your role

Dates & locations

36 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.