Ethics of Big Data. Balancing Risk and Innovation - Helion
ISBN: 978-14-493-5749-8
stron: 82, Format: ebook
Data wydania: 2012-09-13
Księgarnia: Helion
Cena książki: 46,74 zł (poprzednio: 54,99 zł)
Oszczędzasz: 15% (-8,25 zł)
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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Spis treści
Ethics of Big Data. Balancing Risk and Innovation eBook -- spis treści
- Ethics of Big Data
- Dedication
- Preface
- Conventions Used in This Book
- Using Code Examples
- Safari Books Online
- How to Contact Us
- Acknowledgments
- 1. Big Data, Big Impact
- Why Big Data?
- What Is Big Data Forcing?
- Big Data Is Ethically Neutral
- Dont Tell Me What to Do
- Important Concepts and Terms
- 2. Values and Actions
- Articulating Your Values
- Turning Values into Actions
- Four Elements of Big-Data Ethics: Identity, Privacy, Ownership, and Reputation
- Identity
- Privacy
- Reputation
- Ownership
- Benefits of Ethical Inquiry
- What Do Values Have to Do with Anything?
- Four Elements of Big-Data Ethics: Identity, Privacy, Ownership, and Reputation
- Ethical Decision Points
- What Does All That Really Mean?
- 3. Current Practices
- Findings Summary
- Buying Versus Selling
- Opt-in Versus Opt-out
- Correlation Through Aggregation
- Data Ownership
- Manifestation of Values
- Ethical Incoherence
- A Policy By Any Other Name
- Cultural Values
- So What Did We Learn?
- Findings Summary
- 4. Aligning Values and Actions
- Methods and Tools
- Alignment Methodology Framework
- Inquiry
- Analysis
- Data-handling audit
- Data-handling practices
- Articulation
- Action
- Value Personas
- Turning discussion into action
- Global Data Management: A Case Study
- Benefits of Alignment
- About the Author
- Copyright