Successfully Navigating Data Sourcing & Integration
summary
Companies must fail about half of questionable sources — the practical rule here is the 50 percenter outcome when vendors omit disclosures or inject sensitive fields (example: an undeclared sexual preference column in a delivered feed). The workflow requires vendor credential checks, record-layout verification, organizing attributes by regulation, and strict data minimization. Operational controls include data tagging, data zoning, hashing/encryption treatment, access policies, annual source certifications and privacy impact assessments to ensure CCPA/GDPR opt-out, delete and disclosure obligations are met.
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chapters (16)
- 0:00Intro
- 3:02Business Credentialing
- 9:05Privacy Notice Review
- 10:21Privacy Notice & Notice of Data Collected
- 12:30Privacy Notice & Notice of Transfer
- 13:48Notice of Transfer Examples Example Language
- 15:56Consent & Defining Opt-In
- 17:32Regulatory Considerations
- 18:29How to "fail" a source...
- 21:02Integration Considerations
- 26:59Tools for Data Privacy Policy Application
- 27:28Component: Data Classification & Tagging
- 28:06Component: Data Zoning
- 28:55Component: Data Treatment
- 29:53Component: Access Policies & Controls
- 33:52PIA - Privacy Impact Assessment
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