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Privacy professionals need to know what data their organization collects and why it is collected, but silos and complex data ecosystems can make this challenging. Effective data management can support privacy activities and optimize enterprise data- and privacy-related investments. Applied Data Management for Privacy, Security and Digital Trust explores the relationship of data management to privacy and how privacy and security support digital trust. It provides comprehensive guidance on how to build and maintain a tailored data management program. The regulation-agnostic strategies presented in this book can apply to a variety of industries and enterprises of varying sizes. It concludes with a case study of how a data management program can support an enterprise’s privacy objectives when deploying an artificial intelligence customer service chatbot.