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Data Governance Guide

For the english version

This guide is designed as a pragmatic tool, with concrete benchmarks and best practices. Each chapter covers one pillar of data governance:

  • roles
  • cartography
  • safety
  • process.

Data governance is not just about tools. It's a state of mind, an organization and a collective discipline. This guide proposes a progressive approach, aligned with the field, to structure your practices around these four pillars.

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Overview of supply chain and logistics players

Update June 2025

The latest version of our popularization of the Supply Chain concept. This presentation aims to attract talent and raise awareness of the sector's vital role. Through diagrams and infographics, you'll find answers to the questions many people ask: what activities, areas and responsibilities does it cover? Who are the players ?

For a long time, the general public has been unaware of the activities of freight transport and logistics, and even more so of the supply chain, considering them to be primarily stewardship, handling and road haulage activities.

Discover the wide range of activities covered by the Supply Chain.

Supply Chain: a vision that cannot remain limited to the tip of the iceberg (illustration from LAB Jeunes)

This panorama is the fruit of consultation between a number of associations and organizations in the sector.

WHICH DATA FOR CALCULATING CO2 EMISSIONS IN THE SUPPLY CHAIN?

Download the French version at this link

White Paper Volume I

This1st white paper assists in identifying the relevant data and level of precision needed to calculate CO₂ equivalent emissions across the entire Supply Chain. It also highlights initial levers to activate for decarbonization.

This analysis is organized along several key axes:

  • the various stages of the Supply Chain;
  • the different emission scopes;
  • the level of digital maturity.

This publication is the result of the work carried out by the Digital Lab, enriched by contributions from its members, both operational and expert in the Supply Chain, as well as by carbon footprint assessment initiatives. A second volume will be published in 2025.

After presenting the group's working methodology, explore the description of data categories and an analysis of the data required to calculate emissions across an end-to-end Supply Chain.

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WHICH DATA TO USE TO CALCULATE SUPPLY CHAIN CO2 EMISSIONS?

Download the english version here

Livre BLANC volume I

This1st white paper helps to identify the relevant data and level of precision for calculating CO² equivalent emissions throughout the supply chain. It also identifies the first levers to be used to decarbonize.

This analysis is organized along several axes:

  • the different stages of the supply chain ;
  • the different emission scopes ;
  • level of digital maturity.

This publication is the fruit of Lab Digital's work, and has been enriched by contributions from its members, who are both operational and experts in the supply chain, as well as in carbon footprint approaches.

After a presentation of the group's working methodology, discover a description of the data categories and an analysis of the data needed to calculate emissions in an end-to-end supply chain.

GENERATIVE AI FOR THE SUPPLY CHAIN - When and how can it be used?

To download the english version, click here

This fact sheet offers a detailed overview of the applications of generative AI in the Supply Chain, identifying the most appropriate models and platforms for each use case :

  • The 13 use cases identified by our survey
  • 3 types of AI solutions
  • 1 overview of existing solutions, with their advantages, disadvantages and prerequisites.

This publication from the IA Gen squad offers a perspective on current trends in integrating generative AI into supply chain management.

Download the French version via the form