Data Factory
Scale up data and AI production through structured, performance-driven processes.
The Data Factory forms the foundation for the industrialisation of data and AI initiatives. It relies on a dedicated team, standardised processes and automated tools to produce data products and use cases at scale, with a focus on efficiency, quality and responsiveness.
Details of the offer
Objectives
- Establish a framework capable of rapidly and effectively delivering data and AI use cases.
- Standardise data and model production pipelines.
- Establish a cross-functional organisation bringing together business units, IT and data experts.
Benefits
- Reduced time-to-market for projects.
- Improved data quality and reliability.
- Ability to scale up and industrialise use cases.
- Better cost management and optimisation of resources.
Implementation
- Establishment of a Data Factory organisation (Data Office, Data Engineers, Data Scientists, Change).
- Industrialisation of processes via DataOps and MLOps.
- Structuring the data and model lifecycle.
- Implementation of monitoring, management and continuous improvement mechanisms.