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If your data cannot be trusted, it will not be used. 

Many organisations struggle with inconsistent data, unclear ownership, and limited visibility across systems. This creates risk, slows decision making, and makes it harder to scale analytics and AI. 

We help you put the right governance in place so your data is accurate, secure, and used with confidence across the organisation. 

From uncertainty to control and clarity 

As data usage grows across teams and platforms, governance often struggles to keep up. 

Without clear standards, ownership, and controls, data becomes difficult to manage and harder to trust. 

We bring structure and transparency, defining how data is managed, who is responsible, and how it is used so everyone works from a consistent and reliable foundation.

We make data governance practical, scalable, and aligned to how your organisation works. 

  • Define clear ownership, roles, and responsibilities across data domains 
  • Improve data quality through standards, monitoring, and governance controls 
  • Establish metadata, lineage, and definitions to increase transparency 
  • Implement privacy, security, and compliance controls 
  • Align governance processes across business and technology teams 

Designed to support, not slow down 

Governance should enable better use of data, not create barriers. 

We focus on lightweight, effective governance that supports business users, while maintaining the right level of control, security, and accountability. 

This allows teams to move faster with confidence in the data they use. 

Key Benefits

  • Trusted, high quality data for reporting, analytics, and AI 
  • Stronger privacy, security, and regulatory compliance 
  • Greater transparency through clear definitions and data lineage 
  • Reduced duplication and more consistent data use across teams 
  • Clear ownership and accountability across the organisation 

Why Sogeti

We focus on governance that works in practice. 

Our approach covers the full data lifecycle, from classification through to retention and usage. We define clear operating models that bring together business, IT, and risk teams, ensuring governance is embedded into day to day data use, not treated as a separate process. 

Frequently Asked Questions

What is data governance?

Data governance defines how data is managed, including ownership, quality, security, and how it is used across an organisation.

Why is data governance important?

Without governance, data becomes inconsistent and unreliable. This creates risk and limits the value organisations can get from analytics and AI.

Who is responsible for data governance?

It is a shared responsibility across business and technology teams, including data owners, stewards, IT, and risk functions.

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Our Data experts

    Paul Gilbride

    Paul Gilbride

    Paul holds a European role within Sogeti part of Capgemini, focusing on Ireland and Belgium, where he leads the development of the Data and AI business. He is dedicated to helping organisations harness the growing impact of AI and data, supporting them in turning this potential into tangible, long-term business value.
    Paul holds a European role within Sogeti part of Capgemini, focusing on Ireland and Belgium, where he leads the development of the Data and AI business. He is dedicated to helping organisations harness the growing impact of AI and data, supporting them in turn…
    Prithvi Krishnappa

    Prithvi Krishnappa

    Global Head, Data and AI, Sogeti

    Eddy Visser

    Eddy Visser

    Lead Data & Data Platform

    Cesar Meireles

    Cesar Meireles

    Data Professional