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Speed to Insight
Appendix C
About the Authors
Intro
Forewords
Data Protection Megatrends
Ethical Tools for Controlling Disclosure
Summary
Business
What We Solved For and Why
Use Case: Decentralised Data Analytics, AI, ML, Sharing, Combining & Enriching
Use Case: Compliant Cross Border Data Flows
Use Case: IoT and 5G: Maximum Data For Digital Insights
Use Case: Blockchain: How to Make it GDPR Compliant
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Online Fireside Chats
Use Case: Speed To Insight, Lawfully & Ethically
Use Case: Enabling Access to Data for Digital Insights
Use Case: Automated Processing for Frictionless Insights
Use Case: Defending Lawfulness and Ethics of Desired Processing
Technology
What is Functional Separation?
Limitations of Consent
Pseudonymisation as a Way Forward
Introduction to Anonos BigPrivacy
Traditional Anonymisation
What is Pseudonymisation Under GDPR?
The Advantages of Controlled Linkable Data
K-Anonymity and BigPrivacy Variant Twins
Enabling Digital Insights with Variant Twins
Lawful Insights API
Compliance
Data Safe Haven #1: How to Lawfully Process Pre-GDPR Data
Use Case: Lawful Processing of Pre-GDPR Clinical Trial Data
Data Safe Haven #2: Legitimate Interests Lawful Basis
Use Case: Avoiding Undesirable Consequences of Withdrawal of Consent
Data Safe Haven #3: Lawful Secondary Processing
Use Case: Banking: Lawful Marketing (Secondary Processing) to Customers
Data Safe Haven #4: Data Protection by Design and by Default
Use Case: Medical Research: Dynamic Data Use Controls
Use Case: Self-Service Business Intelligence: Lawfully & Ethically
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Data Safe Haven #5: Expanded Data Use, Sharing & Combining
Use Case: Maximising Utility of Research Study Results
Data Safe Haven #6: Compliant Cloud Processing Under GDPR
Use Case: GDPR Compliant Cloud Processing
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Key Takeaways
Appendix A
Anonos Patent Strategy & Portfolio
Appendix B
Cross Reference to ENISA Pseudonymisation Guidance
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Appendix C
BigPrivacy Architecture
References
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Appendix C
BigPrivacy Architecture
