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Many organisations invest heavily in data but struggle to use it effectively.

It sits across systems, is hard to manage, and often requires manual effort to access. We bring it together into a reliable, scalable foundation for operations, analytics, and AI.

From fragmented systems to a connected data environment 

Over time, data ecosystems become complex and disconnected. 

Different tools, platforms, and processes create inefficiencies, making it harder to trust and use data across the business. 

We integrate and streamline your data environment so it works as one, enabling consistent access, better governance, and faster delivery of insights. 

We provide end to end data management that connects strategy, platforms, and delivery. 

  • Assess your current data landscape across platforms, tools, and processes 
  • Design and implement a secure, scalable data platform 
  • Integrate data across systems to improve accessibility and reliability 
  • Automate data pipelines and processes with governance built in 
  • Enable analytics, reporting, and AI use cases on a modern data foundation 

Built for scale and real use 

Data management is not just about technology. 

We ensure your data platform supports how your organisation works, enabling self service access where appropriate, while maintaining control, security, and governance. 

This allows teams to move faster without losing trust in the data.

Key Benefits

  • A reliable, scalable data platform that supports growth 
  • Faster access to trusted data for decision making 
  • Reduced complexity and cost across data operations 
  • A strong foundation for analytics and AI 

Why Sogeti

We focus on delivering data platforms that work in practice. 

Our teams combine experience across data engineering, modern platforms, and analytics to deliver integrated solutions quickly. We take a pragmatic approach, using proven tools and approaches to reduce complexity and accelerate time to value. 

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Our data management offer is backed by Sogeti and Capgemini’s broader Data & AI experience, with 3,500+ client engagements delivered across 50 countries.

Frequently Asked Questions

What is data management in this context?

Data management brings together platforms, processes, and governance to ensure data is reliable, accessible, and usable across the organisation.

How is data management different from data strategy?

Data strategy defines direction and priorities. Data management focuses on implementation, making sure data systems and processes support real use cases.

Does this include modern platforms like Microsoft Fabric?

Yes. We support modern data platforms and tools as part of building scalable, integrated data environments.

Achieve more

Our perspectives

Read data like an open book

Sogeti partners with KB National Library to modernise and manage a data platform, improving access and expanding its use for educational and cultural services.

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What if a cloud data platform could enable smart fertilisation, operations insights and agricultural monitoring?

Data powered enterprises 2024

The latest report from Capgemini Research Institute’s data-powered enterprises series highlights a rise in organisations leveraging data for business and financial benefits.

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