Help your team read, question and use data
Data Governance organises and protects data. Data literacy is what lets people interpret it and decide with it. Without it, rules, quality and AI deliver far less.
In 2026, 88% of business leaders say basic data literacy is now essential for day-to-day work (DataCamp, State of Data & AI Literacy 2026).
What is your situation?
Pick the one closest to your case and start there.
I do not know my team’s level
Measure before you train. The free assessment takes five minutes.
Take the assessment →2I have to comply with Article 4 of the AI Act
AI training proportionate to each profile, and documented.
What it requires →3I want to train each person in what they need
Not everyone needs the same: leadership, managers, analysts and technical teams.
See by role →4We already train, but it does not show
A 90-day plan with measurement before and after.
See the plan →The 4 dimensions of data literacy
These are the capabilities our free assessment measures, from the most basic to the most advanced.
Reading
Understanding where a figure comes from and what it really represents.
Working with data
Creating, cleaning and managing data independently.
Analysing
Comparing, segmenting and spotting patterns without always relying on an analyst.
Arguing with data
Backing decisions with data and communicating them precisely.
What each person needs to know
Not everyone needs the same things. A levels framework makes training useful rather than a box-ticking exercise.
Basic
All staffRead an indicator, spot a misleading chart and know what data must not be shared or put into an AI tool.
Use
Managers and executivesAsk the right questions before deciding, and request data with a clear definition.
Analysis
Analysts and business profilesPrepare and check data, and explain a conclusion with its limits.
Management
Data owners, stewards and technical teamsSet quality and access rules, and maintain the glossary, catalogue and lineage.
Your data literacy programme in 3 steps
No big budget needed: measure, train the priority teams and leave a system that keeps itself going.
Measure and prioritise
Find out what each team knows with a short survey of practical questions, and pick two or three teams to start with, where a misreading costs most.
Train by role
Set what each role should know and train with short sessions on the team’s own data and reports, not general theory.
Consolidate
Provide reference tools (glossary, catalogue, AI use guidance), name go-to people and measure again to see progress.
Data literacy in your area
Each area reads data differently and makes different mistakes. What each profile should know, a 30-day plan and a free self-assessment for each.
Sales
Reading the pipeline, weighted forecasts and sound comparisons.
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Finance
Communicating figures, scenarios and models others understand.
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Leadership
The questions to ask about a figure, a dashboard or AI.
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Marketing
Business metrics, A/B tests and attribution done properly.
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HR
Surveys, turnover, privacy and AI in recruitment.
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Operations
Recording properly, reading the shift dashboard and reviewing forecasts.
See →AI literacy starts with data
Since 2 February 2025, Article 4 of the AI Act has required anyone who develops or uses AI to address their staff’s AI literacy. After the Digital Omnibus, since 27 July 2026 the obligation is to take measures to support it, without having to guarantee a specific level.
In practice, good AI training includes the data basics: where information comes from, what can be wrong with it and how to check an answer.
Data Literacy articles
Frequently asked questions
What is data literacy?
People’s ability to read, understand, question and communicate data in their daily work. It doesn’t mean knowing how to code.
How is it different from AI literacy?
Data literacy is working with data with sound judgement. AI literacy is using AI with sound judgement and knowing its risks. The second builds on the first.
Is it mandatory?
Data literacy as such is not. What the AI Act (Article 4) does require is that those who use AI take AI literacy measures for their staff, and in practice that starts with data.
Where do I start?
By measuring: take the free assessment, run a short survey with two or three teams and start training where a misreading costs most.
What level of data literacy does your team have?
Free 5-minute assessment: your score on the 4 dimensions and what to work on first.