Build a Data-Driven Culture with Data & AI Literacy

Help Your Workforce Be Confident with Data

Many organizations invest heavily in data and AI, but struggle to translate them into better decisions. We help close that gap.

Build a future-ready organization where leaders and teams make better decisions with data, use AI responsibly, and turn technology investments into measurable outcomes

  • Faster, higher-quality decision-making 
  • Lower risk from misinterpreted data and AI outputs 
  • Higher productivity and confidence across teams 
  • Scalable, responsible AI adoption 
  • A sustainable, data-driven culture 
  • From executives to frontline teams: practical skills that turn data & AI investments into business outcomes


Data and AI Literacy: Not Technology. Culture.

46% of organizations say that one of their biggest barriers to AI success is simply not having a data-driven culture.
* According to “Xebia Data & AI Monitor” research about AI adoption on over 500 professionals across industries, roles, and company sizes.

Despite investments in dashboards, AI assistants, and analytics platforms, many organizations struggle to see real impact. The reason is rarely the technology itself. 
Value is created when people: 

– understand data, 
– trust insights, 
– question AI outputs, 
– and use them confidently in decisions. 


Technology enables it. Literacy turns it into impact.

What Data & AI Literacy Mean?

Data literacy is the ability to read, understand, question, and communicate with data – regardless of role. 

It does not mean everyone becomes a data expert. It means people can: 

Interpret dashboards and metrics

Ask better questions

Understand what numbers represent

Use data to make informed decisions

AI literacy builds on this foundation. It is the ability to: 

Understand what AI can and cannot do

Recognize limitations, bias, and risk

Validate outputs instead of blindly trusting them

Use AI as a decision support – not a black box


Without data literacy, AI literacy is risky. 
Without fluency, literacy rarely changes behavior. 

Learn More About Data Literacy

Data Literacy at Danone

How Danone built data literacy across the organization to turn data into better decisions — and why investing in the basics was key to scaling a data-driven culture.

Leading with Data: How to Build a Data-Literate Organization

Watch our on-demand webinar designed for Data leaders, L&D Directors, and Business Strategists as we explore the critical role of data literacy in today’s organizations.

Danone – Data Literacy Through Professional Training

Watch the discussion about data literacy with Camilla Björkqvist – Global Data & Analytics Transformation Director at Danone

Data & AI Literacy Levels 

The Data & AI Literacy Maturity Model 

Literacy is not something you either have or don’t have. It develops in levels, and each level determines how decisions are made.

AI literacy cannot be rushed. 
Skipping levels creates risk and resistance. 

Is Your Organization Ready for AI at Scale? 

Many organizations are experimenting with AI — few are scaling it successfully. Scaling AI requires more than tools; it requires progressing through the right literacy levels across the organization.

Common challenges include: 

  • persistent Data & AI skills gaps, 
  • low confidence in insights, 
  • limited tracking of AI value, 
  • hesitation or blind trust in AI outputs. 

This often leads to slower decisions, higher risk, and missed opportunities. 
The gap is not ambition. 
It is organizational readiness

Our Approach to Building Data & AI Literacy at Scale

Building Data & AI Literacy as a Business Capability

At Xebia Academy, we treat Data & AI Literacy as a business capability, not a training initiative. Our approach is practical, role-based, and designed to support better decisions at scale.

We support organizations across the full literacy journey, from understanding current behaviors to embedding new ways of working.

How We Support This in Practice

Our Data & AI Literacy offering includes:

  • Data & AI Literacy Maturity and Behavior Assessment
  • Skill Gap Analysis
  • Data & AI Literacy vision
  • Role-based learning journeys
  • Executive and leadership workshops
  • Data & AI Literacy eLearning
  • Hands-on, use-case-driven sessions
  • Ongoing reinforcement, coaching, and adoption support

Always tailored. Always aligned with business strategy. Always focused on real impact.

A Practical, Step-by-Step Approach to Building Data & AI Literacy 

01

Understand the Current Reality

We assess how data and AI are used in practice – how decisions are made, how confident people feel, and where trust in data or AI breaks down. 

02

Define Target Literacy Levels

We define what Data & AI Literacy should look like for your organization – per role, persona, and decision context, not generically or globally. Leaders, managers, analysts, and business users need different literacy levels.

03

Build Capability Progressively

We help organizations move step by step from awareness, to data literacy, to data fluency, and finally to responsible AI usage.

04

Reinforce in Daily Work

Capabilities are embedded through tailored learning journeys, hands-on practice, and reinforcement in everyday decisions and leadership behavior.

Trusted by global enterprises

Xebia combines deep experience in data strategy, learning design, and organizational transformation. 

We’ve worked with companies across industries, including retail, banking, finance, insurance, and manufacturing. We have supported organizations like Danone in building data-driven cultures – not just better dashboards. 

“Technology is one thing. Transforming and creating a data-driven culture is another. 
Xebia helped us establish the crucial connection between technology and business.” 

Who Benefits

Ready to Move Forward? 

Strong Data & AI Literacy is no longer optional. 
It is what enables organizations to scale AI responsibly and create lasting value.
Explore your Data & AI Literacy Learning Journey with Xebia Academy.

Our Executive Consultant: Rozaliia Khafizova, Data Literacy Manager