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Ethics of big data: balancing risk and innovation

By: Contributor(s): Publication details: 2012 O'Reilly Media Beijing; 2012 Shroff Publishers & Distributors Pvt. Ltd., MumbaiDescription: xii, 64 pISBN:
  • 9781449311797
Subject(s): DDC classification:
  • 005.74015 D2E8
Summary: 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.
List(s) this item appears in: Big data | VR_Data Analytics, Data Visualization and Big Data | Big Data_Book Display
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 3-B / Slot 89 (0 Floor, West Wing) Non-fiction General Stacks 005.74015 D2E8 (Browse shelf(Opens below)) Available 178960

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.

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