Data Governance Starter

Data governance starter package: roles, ownership, quality rules, dictionary, reference data and initial indicators.

  • RFC SERVICE
  • Data foundations
Customer challenge

Clarify data ownership

Data responsibilities and rules are insufficiently formalised. Validate priority responsibilities and controls.

  • Starting point

    Data responsibilities and rules are insufficiently formalised.

  • Promise

    Establish initial data governance rules.

  • Decision

    Validate priority responsibilities and controls.

AI SHIFT

Prepare and enrich data applications

Documentation governance assistant and quality/rule gap detection.

RFC approach

A structured approach to action

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

  • Inventory

    Identify applications, risks and decisions to govern.

  • Structure

    Define appropriate responsibilities, rules and controls.

  • Test

    Apply the framework to a concrete case and organise reviews.

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 AI Foundry
  • Azure Machine Learning
  • Azure Data Factory
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.