Building a Modern Master Data Management Capability Around SAP

01 Dec 2026
4:00pm - 5:00pm

Join an exclusive, small-group discussion for senior data and AI leaders, providing a confidential space to exchange insights, share challenges, and learn from peers.

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This discussion will explore what to manage within and outside SAP, how to enforce standards at intake, and where automation can reduce manual effort while keeping changes controlled and traceable.

Discussion Questions: 

  • How have organisations decided what master data to manage within SAP and what to manage outside it?
  • How are organisations enforcing data standards at intake and ensuring requests follow the required approvals and notifications?
  • Where have automation and AI reduced manual maintenance and rework, and what controls are needed to keep changes traceable?

Who should attend?

This session is designed for senior data leaders who:

  • Have led master data management transformation programmes where SAP remains a core operational platform.

And

  • Operate in manufacturing, FMCG, distribution or similarly complex operational environments.

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Accelerator format:

DataIQ Accelerators are focused peer-to-peer discussions designed to address, and problem solve around a concrete challenge. Each session brings together a curated group of qualified contributors with relevant expertise to validate ideas, share practical perspectives, and shape actionable next steps. 

What to expect: 

  • Invitation-only, moderated discussions for senior data and AI leaders to share ideas, brainstorm, and learn from collective expertise to solve a specific challenge. 
  • Contributors are asked to actively participate and openly share their experiences. 
  • Hosted under Chatham House rules. 

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How to apply if you are not a client:

If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.

DataIQ clients: Please secure your place via the DataIQ Hub.

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