Reliable, high-performance data foundations

Data foundation structuring service: architecture, integration, quality, models, security, performance and operations.

  • RFC SERVICE
  • Data foundations
Customer challenge

Make data reliable before use

Data lacks reliability and technical consistency. Prioritise quality and architecture corrections.

  • Starting point

    Data lacks reliability and technical consistency.

  • Promise

    Make data foundations reliable.

  • Decision

    Prioritise quality and architecture corrections.

AI SHIFT

Prepare and enrich data applications

Data quality scoring, automatic recommendations and assisted documentation.

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
  • Azure Data Factory
  • SQL Server
  • Azure AI Foundry
References

Projects to inform your choices

RFC engagements illustrate the applications, environments and challenges covered by this service.

Client Reference

2023

Unify HR and payroll data

ETL flows consolidate HR and payroll data from 28 entities.

Tracked Indicators

Quality, completeness, availability

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.