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Dynamic customer strategy : today's CRM / John F. Tanner, Jr.

By: Material type: TextTextSeries: Publication details: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, (c)2014.Edition: First editionDescription: 1 online resource (156 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781606496978
Subject(s): LOC classification:
  • HF5415 .D963 2014
Online resources: Available additional physical forms:
Contents:
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.
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Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library Non-fiction HF5415.55 (Browse shelf(Opens below)) Link to resource Available 10821748

Part of: 2013 digital library.

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.

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.

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Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

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

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