Unified data and analytics platform

Design and deployment of an integrated data platform: ingestion, storage, transformation, models, security and operations.

  • RFC SERVICE
  • AI-ready data platform
Customer challenge

Connect data with applications

Ingestion and analytics tools remain siloed. Validate the integrated platform's initial applications.

  • Starting point

    Ingestion and analytics tools remain siloed.

  • Promise

    Unify data flows and analytics applications.

  • Decision

    Validate the integrated platform's initial applications.

AI SHIFT

Prepare and enrich data applications

Preparation of the data foundations needed for GenAI and RAG applications.

RFC approach

A structured approach to action

Each step specifies the actions, deliverables and decisions to prepare.

  • Scope

    Identify business decisions, sources and required indicators.

  • Build

    Prepare data and define useful models and controls.

  • Validate

    Verify indicators with users and organise monitoring.

Let's discuss your context

Talk to an RFC expert

Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.

Technologies used

Tools suited to data sources and analytics applications.

  • Azure Machine Learning
  • Microsoft Fabric
  • Azure AI Foundry
  • Azure Synapse Analytics
  • Power BI
Let's discuss your context

Talk to an RFC expert

Share your context, priorities and constraints. Our experts help you structure an IT journey aligned with your transformation goals.

Tell us about your challenges

Share your priorities to prepare for a focused discussion.