How The Right Data Strategy & Martech Can Enable Security & Privacy Compliance
summary
Claims that a Customer Data Platform plus a cataloged data lineage and enforced access policies let teams respect consent per jurisdiction, resolve identity, and measure campaigns. Examples: an enterprise unifies 1000 data sources and enforces geo-specific usage; brands build their own identity graph as cookies disappear; privacy techniques suggested include pseudonymization, synthetic data, differential privacy and micro-aggregation at 4–5 households to preserve utility; practical collaboration via data clean rooms lets partners run analyses without exposing raw records.
AI-written summary · about
chapters (8)
- 0:00Introduction and speakers
- 1:05Current privacy landscape
- 10:00Building a risk-based approach
- 14:59Global data compliance
- 16:46Third-party cookie deprecation
- 22:02Advanced privacy techniques
- 24:12Organizational strategies
- 25:40Customer-centric compliance
related talks
40mData Privacy and Security by Design
28mTurning Privacy Compliance into a Business-Enabler
31mInsights & Engagements with Customer Data Platforms
42mPrivacy as a Brand Differentiator
26mAnalytics & Data Science with Privacy at its Core
47mDesigning for User-Centered Privacy
22mData Privacy & Compliance in a integrated Hybrid Cloud Environment
28mData Engineers: Privacy Is Your Problem
