9781449311797-1449311792-Ethics of Big Data

Ethics of Big Data

ISBN-13: 9781449311797
ISBN-10: 1449311792
Edition: 1
Author: Kord Davis
Publication date: 2012
Publisher: Oreilly & Associates Inc
Format: Paperback 64 pages
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Book details

ISBN-13: 9781449311797
ISBN-10: 1449311792
Edition: 1
Author: Kord Davis
Publication date: 2012
Publisher: Oreilly & Associates Inc
Format: Paperback 64 pages

Summary

Ethics of Big Data (ISBN-13: 9781449311797 and ISBN-10: 1449311792), written by authors Kord Davis, was published by Oreilly & Associates Inc in 2012. With an overall rating of 4.2 stars, it's a notable title among other Business Ethics (Management & Leadership, Environmental Economics, Economics, Sustainable Development, Data Modeling & Design, Databases & Big Data, Data Mining, Data Processing, History & Culture, Business Culture) books. You can easily purchase or rent Ethics of Big Data (Paperback, Used) from BooksRun, along with many other new and used Business Ethics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.45.

Description

What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.

Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders.

  • Review your data-handling practices and examine whether they reflect core organizational values
  • Express coherent and consistent positions on your organization’s use of big data
  • Define tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over time
  • Maintain a balance between the benefits of innovation and the risks of unintended consequences
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