ServicesData & AIData & Analytics Platforms

Data-Centric Strategy

Context

The client launched a strategic program to structure its data capabilities at a group level and establish the foundations of a data-centric organization. This initiative involves coordinating several key entities — including the Cloud Center of Excellence, Data Management Department, and DataLab — to align practices, architectures, and governance. To drive this transformation and ensure the successful deployment of an Azure-based Enterprise Data Platform, the client relies on Avaliance to organize initiatives, define standards, and support teams in increasing their maturity.

Challenges

The client needed to structure Data Management at scale while deploying a modern data platform capable of supporting business and analytical use cases.

Key challenges included unifying Data and Cloud practices, defining core architectural patterns (ingestion, modeling, governance, serving), establishing a robust data governance framework, aligning teams under a common agile framework, and successfully launching the group-wide data platform.

Avaliance Intervention

Achievements

Avaliance deployed a structured approach combining data governance, cloud architecture, and program management:
  • structuring Data Management activities and defining governance roles, responsibilities, and processes

  • implementing and supporting teams on the SAFe framework to industrialize delivery

  • designing Azure-based data architecture patterns for ingestion, modeling, and exposure

  • defining the Enterprise Data Platform scope including roadmap, MVP, and target architecture

  • coordinating business, IT, and support teams and overseeing overall program governance

Technologies & Frameworks

Azure Data Platform Data Governance SAFe / Agile Data Architecture Data Management Cloud Center of Excellence

Results

Thanks to Avaliance’s intervention, the client achieved concrete and measurable results:
1
establishment of a clear and operational group-wide data governance framework
2
deployment of the foundations of an Azure-based Enterprise Data Platform
3
harmonization of Data, Cloud, and DataLab practices across the organization
4
significant acceleration of organizational and agile maturity across teams
5
creation of an industrialized data foundation ready to support strategic and analytical use cases
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