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Dynamic customer strategy : today's CRM / John F. Tanner, Jr. [electronic resource]

By: Material type: TextTextSeries: 2014 digital library | Marketing strategy collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2014Edition: First editionDescription: 1 online resource (156 pages) : illustrationsISBN:
  • 9781606496978 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 658.812 23
LOC classification:
  • HF5415.55 .T253 2014
Online resources:
Contents:
1. Big data and dynamic customer strategy -- 2. The elements of dynamic customer strategy -- 3. Making sense of big data -- 4. Operationalizing strategy -- 5. Acquiring big (and little) data -- 6. Analytics for the rest of us -- 7. Turning models into customers -- 8. Of metrics and models -- 9. Making the case for big data solutions -- 10. Customer culture -- Notes -- References -- Index.
Abstract: Marketers, merchandisers, and sales executives alike are struggling with Big Data--the data streaming at increasing speeds from myriad channels and options for communicating with customers. The tools are likely to continue to multiply, paralyzing many executives with simply too many choices. Using data from a four-year study, this book provides a process for rigorous decision making, eliminating the paralysis and optimizing decision making for marketing performance. This book is intended for a broad audience including students and professors in graduate business schools, and practicing business executives. The goal is to inform marketing practice and help current and future business leaders navigate through the competitive storms unleashed by technological change.
Holdings
Item type Current library Call number Status Date due Barcode
Ebook TUS: Midlands, Main Library Athlone Online eBook (Browse shelf(Opens below)) Available

Part of: 2014 digital library.

Includes bibliographical references (pages 149-150) and index.

1. Big data and dynamic customer strategy -- 2. The elements of dynamic customer strategy -- 3. Making sense of big data -- 4. Operationalizing strategy -- 5. Acquiring big (and little) data -- 6. Analytics for the rest of us -- 7. Turning models into customers -- 8. Of metrics and models -- 9. Making the case for big data solutions -- 10. Customer culture -- Notes -- References -- Index.

Access restricted to authorized users and institutions.

Marketers, merchandisers, and sales executives alike are struggling with Big Data--the data streaming at increasing speeds from myriad channels and options for communicating with customers. The tools are likely to continue to multiply, paralyzing many executives with simply too many choices. Using data from a four-year study, this book provides a process for rigorous decision making, eliminating the paralysis and optimizing decision making for marketing performance. This book is intended for a broad audience including students and professors in graduate business schools, and practicing business executives. The goal is to inform marketing practice and help current and future business leaders navigate through the competitive storms unleashed by technological change.

Title from PDF title page (viewed on January 5, 2014).

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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