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.

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.

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.