Client case studies > Data strategy

Data & AI

Data strategy

  • Data science & AI
  • Data governance & engineering
  • Retail & e-commerce


Data and AI have become strategic means to meet multiple challenges: challenges of developing sales and margins, challenges of customer experience and satisfaction, of productivity and operational efficiency.


But how to proceed to quickly take advantage of these data and AI opportunities? What are the relevant use cases in my sector?


Where to position these initiatives in the organization, with what governance? What technologies are needed and how do they fit into my existing environment? What ROI can I expect from these initiatives? What is the timeframe?

The main objectives are
  1. 01.

    Define business use cases driven by the company's data challenges

  2. 02.

    Define the approach and organization of the project

  3. 03.

    Evaluate the financial, technical and human resources

  • Mapping of use cases prioritized according to business impact, technical and organizational complexity
  • Architecture required for the data platform
  • Project governance and roadmap

Key expert

Hervé Mignot

Hervé Mignot

Data and R&D Associate

  • Validation of the budget associated with the deployment of a datalake platform, the deployment of the first two use cases and the target governance

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