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Description

AI and KPIs: Analysing Indicators, Spotting Signals and Anticipating Trends

Use AI to analyse your indicators and identify turning points before they become visible

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

Dashboards accumulate while their interpretation remains entirely manual. A decline is noticed long after it began, a variation is explained by the first available hypothesis, and forecasts often amount to little more than extending past trends.

This one-day virtual programme is designed for professionals who already produce or work with performance indicators. It shows how to query a dataset in natural language, surface correlations and trend breaks, build a well-argued projection and comment on a dashboard. The statistical limitations of such analyses are addressed throughout.

Learning objectives

  • Prepare a dataset suitable for AI-assisted analysis
  • Query your indicators in natural language to test hypotheses
  • Detect trend breaks and outliers
  • Build a projection and make its underlying assumptions explicit
  • Write an AI-assisted dashboard commentary
  • Identify conclusions that are not statistically sound

What makes this programme different

The short virtual format alternates demonstrations with hands-on work on a dataset provided
Each participant may work on their own indicators
The most common interpretation errors are exposed through practice

Programme

1Preparing Data and Indicators

No reliable analysis without clean data

  • Quality and structuring of a dataset
  • Definition and scope of the indicators tracked
  • Historical depth required to observe a trend
  • Importing and connecting data to the tool

2AI-Assisted KPI Analysis

Questioning your figures differently

  • Natural-language questions applied to a dataset
  • Detecting trend breaks and outliers
  • Identifying correlations and contribution by segment
  • Comparing periods and analysing variances
  • Generating visualisations with commentary

3Anticipation and Reporting

Moving from observation to decision

  • Building a projection and selecting assumptions
  • Scenarios and sensitivity to key variables
  • Correlation mistaken for causation
  • Written dashboard commentary
  • Presenting conclusions to an executive committee

Who is it for

Management controllers · analysts · performance management leads · operations directors and marketing managers.

Prerequisites

Regular hands-on work with numerical data and dashboards.

Dates & locations

12 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.