Data Strategy
Develop a data and AI strategy aligned with business priorities and define a high-value roadmap.
Data strategy is no longer limited to organising a data estate: it involves positioning data as a strategic asset that supports the company’s operational and decision-making models. In a context characterised by the massification of data, increasing regulatory requirements and the rise of AI, it must simultaneously address issues of governance, data quality and business application.
Details of the offer
Objectives
- Define a Data & AI vision aligned with the company’s strategy and its operational priorities.
- Structure a target organisation (Data Office, Data Domain Owners, Data-as-a-Product) capable of driving the transformation.
- Establish robust governance, incorporating data quality, compliance and traceability.
Benefits
- Alignment between business units, IT and data functions around a shared roadmap.
- Better prioritisation of data and AI investments. Ability to leverage data as a direct driver of performance and value creation.
- Strengthened compliance with regulatory frameworks (GDPR, AI Act).
Implementation
- Data & AI maturity analysis across several areas (organisation, technology, culture, governance).
- Identification and assessment of high-impact use cases.
- Definition of a target operational model and a phased roadmap.
- Establishment of governance foundations and support for organisational transformations.