Analytics and Dynamic Customer Strategy : (Record no. 37178)
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| fixed length control field | 06627nam a22004933i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC1715408 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240729122839.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2014 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118919781 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781118905739 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC1715408 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL1715408 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaPaEBR)ebr10885925 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaONFJC)MIL620543 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)877564696 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HF5415.5 -- .T366 2014eb |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.834 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tanner, John F., Jr. |
| 245 10 - TITLE STATEMENT | |
| Title | Analytics and Dynamic Customer Strategy : |
| Remainder of title | Big Profits from Big Data. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Somerset : |
| Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Incorporated, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (256 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Acknowledgments -- Part One Big Data and Dynamic Customer Strategy -- Chapter 1 Big Strategy for Big Data -- Beyond the Hype -- The Value of Accelerated Learning -- Introducing Dynamic Customer Strategy -- DCS Complements Design School -- Barriers to Big Data and DCS -- Summary -- Notes -- Chapter 2 Mapping Dynamic Customer Strategy -- Theory as Strategy -- Concepts -- Relationships -- Establishing Causality through Control -- Conditions -- Making the Model Operational -- Target's Behavioral Loyalty Model -- Simple versus Complex Models -- Summary -- Notes -- Chapter 3 Operationalizing Strategy -- Conceptual to Operational -- Operational Definitions -- From Strategy to Action -- Microsoft's DCS and Fail-Fast Mentality -- Experiments and Decisions -- Managing Decision Risk -- Using Big Data Effectively -- Summary -- Notes -- Part Two Big Data Strategy -- Chapter 4 Creating a Big Data Strategy -- Avoiding Data Traps -- An Airline Falls into a Data Trap -- Creating the Data Strategy -- Summary -- Notes -- Chapter 5 Big Data Acquisition -- Measurement Quality -- The Truth and Big Data -- Acquiring Big Data -- Making Good Choices -- The Special Challenge of Salespeople -- Summary -- Notes -- Chapter 6 Streaming Insight -- The Model Cycle -- Applications of Statistical Models -- Types of Data-Types of Analytics -- Matching Data to Models -- Summary -- Chapter 7 Turning Models into Customers -- Mac's Avoids Mindless Discounting -- Decision Mapping -- Conversations and Big Data -- Cascading Campaigns -- Cascading Campaigns Accelerate Learning -- Accelerating the Process with Multifactorial Experimental Design -- Summary -- Notes -- Chapter 8 Big Data and Lots of Marketing Buzzwords -- Customer Experience Management -- Value and Performance. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Performance, Value, and Propensity to Relate -- Responsiveness -- Citibank MasterCard Responds at Market Level -- Transparency -- Community -- Cabela's Journey to Customer Experience -- Summary -- Notes -- Chapter 9 Big Data Metrics for Big Performance -- The Big Data of Metrics -- Variation and Performance -- Creating a Tolerance Range -- Visualization -- Creating the Right Metrics -- Summary -- Notes -- Part Three Big Data Culture -- Chapter 10 The Near-Simultaneous Adoption of Multiple Innovations -- Building Absorptive Capacity -- People, Process, and Tools -- Managing the Change -- Empowering Your Entrepreneurs -- Konica-Minolta's Awesome Results -- One Result: Customer Knowledge Competence -- Global Implementation -- Summary -- Notes -- Chapter 11 Leading (in) the Dynamic Customer Culture -- Leadership, Big Data, and Dynamic Customer Strategy -- Leadership and Culture -- Movements -- Exploiting Strategic Experimentation -- Big Data, Big Decisions, Big Results -- Notes -- Afterword -- Additional Readings -- About the Author -- Index -- EULA. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer StrategyAcquiring, mining, and analyzing dataMetrics and models for big data utilizationShifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big |
| 520 8# - SUMMARY, ETC. | |
| Summary, etc. | Profits from Big Data helps marketers shape a strategy that works. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Customer relations. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Relationship marketing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Tanner, John F., Jr. |
| Title | Analytics and Dynamic Customer Strategy |
| Place, publisher, and date of publication | Somerset : John Wiley & Sons, Incorporated,c2014 |
| International Standard Book Number | 9781118905739 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=1715408">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=1715408</a> |
| Public note | Click to View |
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