Which approach best protects viewer privacy in streaming analytics?

• A. Collect data without consent
• B. Obtain consent, minimize data, secure storage, and give user control
• C. Store data indefinitely without security
• D. Share data publicly with partners

Answer: (B)

Protecting viewer privacy in streaming analytics hinges on building data practices that respect consent, limit what is collected, secure what is stored, and keep people in control of their information. The best approach is to obtain clear consent from viewers, collect only what is necessary (data minimization), store data in ways that protect it from unauthorized access, and provide users with control over their data, including access, deletion, and the option to revoke consent. This combination upholds privacy rights, reduces risk in case of a breach, and supports trust and regulatory compliance.

Other paths undermine privacy: collecting data without consent violates trust and often laws; storing data indefinitely without proper security increases the chance of a breach; and sharing data publicly with partners removes user control and can breach agreements and expectations. In practice, emphasize privacy by design, use anonymization where possible, implement strong encryption and access controls, and maintain transparent consent mechanisms.