Operationalizing Data Retention
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 retention obligations grow, how do organisations translate policy into accountable, scalable processes and controls? Join peers to explore how responsibility is shared across data, compliance, technology and the business, and how retention requirements can be embedded into day-to-day operations.
Discussion Questions:
- How can data management , compliance, ICT and business teams divide accountability and responsibility for implementing data-retention in a sustainable and scalable way?
- What makes a data retention schedule practical to implement, maintain, and enforce across different systems and business processes?
- How do you apply a risk-based approach to data retention in practice, and how do you operationalize this through processes and technology controls?
Who should attend:
This session is designed for senior data and AI leaders who:
- Are directly responsible for implementing data retention and;
- Manage GDPR and wider legal retention obligations
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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.
