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Privacy-compliant Data Deletion
Define and implement a well-proven approach to data minimisation and data deletion that aligns with the latest data protection regulations and reflects the complexities of your data architecture.
Are you asking yourself
- What are the key requirements for retaining and deleting personal data?
- How can we implement a data deletion process that is both pragmatic and compliant?
- What are the optimal retention periods for personal data to balance legal requirements and business needs?
- How do we manage data deletion across complex and varied data architectures?
What you will get from us
- Deletion concept
- Retention schedule and policy
- Deletion architecture blueprint
- Risk-based prioritization of applications and onboarding approach
- Implementation roadmap and effort estimation
Our Approach
Deletion concept
Start with a company-wide deletion concept.
Retention schedule and policy
Review and update your data retention schedule and update the related policies.
Deletion architecture blueprint
Understand and evaluate data deletion architecture options.
Risk-based prioritization of applications and onboarding approach
Define a standard approach to onboard applications, enabling them to delete or anonymise data.
Implementation roadmap and effort estimation
Plan and initiate the implementation.
Our Experts In This Topic
OUR EXPERT
Peter Camenzind
Associate Partner • Insurance
Peter Camenzind is an Associate Partner with deep expertise in data lifecycle management and large-scale core system implementations. He has led projects in insurance and banking focused on process optimization, change management, and compliance. Peter combines strong PMO and business analysis skills with experience in automation and digital transformation initiatives
OUR EXPERT
Lukas Diener
Partner and Global Head of Property and Casualty Insurance
Lukas leads Synpulse’s insurance practice in Switzerland, advising reinsurers and insurers on operations, IT transformations, and regulatory-driven initiatives across Europe and Asia. His expertise includes insurance mergers, operating model and enterprise architecture transformations, and core platform replacements.
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-min read •
Privacy-compliant Data Deletion
Define and implement a well-proven approach to data minimisation and data deletion that aligns with the latest data protection regulations and reflects the complexities of your data architecture.
Are you asking yourself
- What are the key requirements for retaining and deleting personal data?
- How can we implement a data deletion process that is both pragmatic and compliant?
- What are the optimal retention periods for personal data to balance legal requirements and business needs?
- How do we manage data deletion across complex and varied data architectures?
What you will get from us
- Deletion concept
- Retention schedule and policy
- Deletion architecture blueprint
- Risk-based prioritization of applications and onboarding approach
- Implementation roadmap and effort estimation
Our Approach
Deletion concept
Start with a company-wide deletion concept.
Retention schedule and policy
Review and update your data retention schedule and update the related policies.
Deletion architecture blueprint
Understand and evaluate data deletion architecture options.
Risk-based prioritization of applications and onboarding approach
Define a standard approach to onboard applications, enabling them to delete or anonymise data.
Implementation roadmap and effort estimation
Plan and initiate the implementation.
Our Experts In This Topic
OUR EXPERTPeter Camenzind
Associate Partner • Insurance
Peter Camenzind is an Associate Partner with deep expertise in data lifecycle management and large-scale core system implementations. He has led projects in insurance and banking focused on process optimization, change management, and compliance. Peter combines strong PMO and business analysis skills with experience in automation and digital transformation initiatives
OUR EXPERTLukas Diener
Partner and Global Head of Property and Casualty Insurance
Lukas leads Synpulse’s insurance practice in Switzerland, advising reinsurers and insurers on operations, IT transformations, and regulatory-driven initiatives across Europe and Asia. His expertise includes insurance mergers, operating model and enterprise architecture transformations, and core platform replacements.