Air France-KLM Group

Industry: Transport
Region: Global
HQ: France
Company size: 88,800 employees

“Data as a Service is a critical business enabler for Air France-KLM. With Atos’ help, we not only have a secure, bespoke and sustainable data infrastructure, tools and processes, we have successfully engaged stakeholders as data owners and consumers to ensure our business can be truly data-driven.”

Nicolas Forgues
CTO Air France-KLM Group

Enabling Air France-KLM Group to become a truly data-driven organization.


With Atos’ help, the Air France-KLM Group has achieved what many businesses are striving for: it has rich, fast and accurate data at the heart of everyday decision-making.

Previously, organizational siloes had hindered the Group’s use of data. Now, Atos’ Data as a Service provides a single point of access to all the Group’s data – in real time – with user-friendly analysis and visualization tools. Staff have all the data they need at their fingertips, enabling the Group to use data to improve customer experience, increase efficiency and reduce costs.

The challenge


With over 100 million passengers every year, Air France-KLM positions itself as one Group, two airlines. Across its 12 business domains, its 80,000 staff found it difficult and time-consuming to find and understand the Group’s huge volumes of data.

Atos was engaged to boost the Group’s data program and help implement a comprehensive data strategy, with all the infrastructure, business engagement, governance, processes and tools to make it happen.

The solution


Atos helped create one single interactive platform, organized around staff’s business roles and with the same look and feel across the Group, including:

  • Self-service access to full suite of industrialized data tools and services
  • Easy-to-use, secure infrastructure
  • Automated processes and metadata management
  • Joint data lake
  • All necessary governance, training and support

Crucially, the program is owned and led by the Group’s 12 Chief Data Officers to ensure business ownership.

Business benefit


  • Staff can easily access
    whatever data they need and combine it with external data.
  • Time to locate data has been
    dramatically reduced from several months to just a few minutes.
  • Business domains work together,
    gaining new insights and improving strategic and tactical decision-making,
    for example:
  • Optimizing luggage
    delivery by predicting passengers’ behavior
  • Improving cash flow by
    accurately forecasting passenger claims
  • Optimizing fleet
    management by leveraging rich operational data.

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