Do you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it.Data for All empowers everyone - from tech experts to the general public - to control how third parties use personal data. Read this eye-opening book to The data you generate every day is the lifeblood of many large companies - and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit.Foreword by Thomas H. Davenport.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyDo you know what happens to your personal data when you're browsing and buying? New global laws are turning the tide on companies who make billions from your clicks, searches, and likes. This eye-opening book provides an inspiring vision of how you can take back control of the data you generate every day.About the BookData for All gives you a step-by-step plan to transform your relationship with data and start earning a "data dividend" - hundreds or thousands of dollars paid out simply for your online activities. You'll learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private.What's InsideAbout the ReaderFor anyone who is curious or concerned about how their data is used. No technical knowledge required.About the AuthorJohn K. Thompson is an international technology executive with over 37 years of experience in the fields of data, advanced analytics, and artificial intelligence.Table of Contents1 A history of data2 How data works today3 You and your data4 Trust5 Privacy6 Moving from Open Data to Our Data7 Derived data, synthetic data, and analytics8 Looking What's next for our data?