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An underlying guide for how data principles can lead to improved accuracy in data collection, help businesses stay transparent with consumers, generate more trust, and ultimately, increase business performance. Even more important in today’s age of AI, this book examines today’s complex U.S. based privacy landscape and explains what business leaders and consumers stand to lose when myth gets mistaken for fact when thinking about data privacy. It defines the make-up of an audience and provides a step-by-step framework for how to structure data collection, storage and usage in a way that respects the consumer and builds trust.
Tiffany Johnson is a data and audience strategy professional with 20+ years of experience working with some of the world’s largest advertisers. She is also an adjunct professor at New York University’s School of Professional Studies graduate program teaching Consumer Behavior and Business Planning. In addition to her industry and academic work, she advises organizations on data strategy, audience intelligence, and business transformation through her consulting practice, Xente Consulting.
Daniela Molta is a professor of digital advertising at Syracuse University whose research focuses on how data practices, specifically data ethics and privacy decisions, shape real-world outcomes for organizations and communities. She has 18+ years of industry experience across in-house marketing teams and media agencies, and now at her own strategic consulting firm, CaliYork Consulting.