Defining the Scope for Governing Data Within Data Products
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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As regulatory demands grow and data environments become more complex, organisations have an opportunity to rethink how regulatory data is produced and governed. This session will explore how cloud-native architectures, data products and AI can create more efficient, trusted and reusable approaches to reporting, while considering how regulatory engagement itself may evolve.
Discussion Questions:
- How do organisations decide which attributes within a data product require full governance controls?
- What minimum standards should apply beyond formally designated critical data?
- How should glossary, lineage and protection requirements be prioritised when a product contains hundreds of attributes?
Who should attend:
This session is designed for senior data and AI leaders who:
- Define controls for data within data products and;
- Operate in banking and financial services organisations
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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.
