Overview

This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the increasing size and scope of information that Big Data technologies can provide business, maintaining an ethical practice benefits from a common framework of understanding and vocabulary for discussing questions about coherent and consistent practices. A framework provides you with a set of conceptual terms and tools that help decision-markers to engage difficult questions the expanding role Big Data plays in an increasing variety of products and services. The approach is to develop a set of terms and concepts, consider ethical principles useful in meaningful business discussions, and then explore and compare several overall views on data handling to help inform the development of an ethics-based data strategy. The focus is to enhance effective decision-making in business rather than legislate what ought to be done with data. In this book, you will learn methods and techniques to facilitate rigorous, productive internal discussion, and express coherent and consistent positions on your organization's perspective on the use of Big Data in commerce.

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9781449311797

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Kord Davis is a former Principal Consultant with Cap Gemini and has spent nearly 20 years providing business strategy, analysis, and technical consulting to over 100 organizations of all sizes including: Autotask, Microsoft, Intel, Sisters of Mercy Healthcare, Nike, Bonneville Power Administration (BPA), Northwest Energy Alliance (NEEA), Bill & Melinda Gates Foundation, Western Digital, Fluke, Merix, Roadway Express, and Gardenburger. Integrating a professional background in telecommunications and an academic background in philosophy, he brings passionate curiosity, the rigor of analysis, and a love of how technology can help us do the things we really want to do better, faster, and easier. A formally trained workgroup facilitator, he holds a BA in Philosophy from Reed College and professional certifications in communication, systems modeling, and enterprise transformation. Douglas Patterson received his PhD in 2000 from the University of Pittsburgh, consistently ranked throughout the past few decades as one of the top five PhD programs in philosophy in the world. Since then he has accumulated 10 years of experience publishing in the philosophy of logic, mathematics and language and during those years, and for nearly twenty years he has taught either ethics or business on average two or three times a year. Patterson's combination of intense training in analytical work and long experience with ethical issues puts him in a unique position to address the issues raised by Big Data and data policy in general.

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