000 08480cam a2201033 i 4500
001 sulb-eb0033226
003 BD-SySUS
005 20170713221358.0
006 m o d
007 cr |||||||||||
008 140417s2014 njua ob 001 0 eng
010 _a 2014015477
040 _aDLC
_beng
_erda
_epn
_cDLC
_dYDX
_dEBLCP
_dN$T
_dIDEBK
_dYDXCP
_dDEBSZ
_dDG1
_dOCLCF
_dTEFOD
_dE7B
_dRECBK
_dB24X7
_dTEFOD
_dCOO
_dOCLCQ
_dUMI
_dDEBBG
_dTEFOD
_dCSJ
_dVT2
_dBD-SySUS
019 _a884594220
_a907477710
_a908035760
_a927375157
_a961578672
_a962611825
020 _a9781118919781
_q(electronic bk.)
020 _a1118919785
_q(electronic bk.)
020 _a9781118919774
_q(electronic bk.)
020 _a1118919777
_q(electronic bk.)
020 _z9781118905739
_q(Hardcover)
020 _z9781118919767
020 _z1118919769
020 _a1118905733
020 _a9781118905739
020 _a9781306892926
020 _a1306892929
029 1 _aAU@
_b000052777492
029 1 _aDEBSZ
_b409834521
029 1 _aNLGGC
_b376985798
029 1 _aNZ1
_b15753496
029 1 _aNZ1
_b15920493
029 1 _aCHVBK
_b33409223X
029 1 _aCHBIS
_b010442138
029 1 _aDEBBG
_bBV042741752
029 1 _aDEBBG
_bBV042683126
029 1 _aDEBSZ
_b446583316
029 1 _aGBVCP
_b835873145
029 1 _aDEBBG
_bBV043610342
029 1 _aDEBSZ
_b475026543
029 1 _aDEBBG
_bBV043396694
035 _a(OCoLC)877564696
_z(OCoLC)884594220
_z(OCoLC)907477710
_z(OCoLC)908035760
_z(OCoLC)927375157
_z(OCoLC)961578672
_z(OCoLC)962611825
037 _a4E7441BA-E30D-4833-8C93-FE94CBED9CFD
_bOverDrive, Inc.
_nhttp://www.overdrive.com
042 _apcc
050 0 0 _aHF5415.5
072 7 _aBUS
_x082000
_2bisacsh
072 7 _aBUS
_x041000
_2bisacsh
072 7 _aBUS
_x042000
_2bisacsh
072 7 _aBUS
_x085000
_2bisacsh
082 0 0 _a658.8/34
_223
084 _aBUS019000
_2bisacsh
049 _aMAIN
100 1 _aTanner, John F.
245 1 0 _aAnalytics and dynamic customer strategy :
_bbig profits from big data /
_cJohn F. (Jeff) Tanner, Jr.
264 1 _aHoboken, N.J. :
_bWiley,
_c2014.
300 _a1 online resource (xviii, 235 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aIncludes index.
520 _a"Key decisions determine the success of big data strategyDynamic 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 Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting 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 Profits from Big Data helps marketers shape a strategy that works"--
_cProvided by publisher.
588 0 _aPrint version record and CIP data provided by publisher.
504 _aIncludes bibliographical references and index.
505 0 _aCover; 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
505 8 _aChapter 3 Operationalizing StrategyConceptual 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
505 8 _aChapter 6 Streaming InsightThe 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; Performance, Value, and Propensity to Relate; Responsiveness
505 8 _aCitibank MasterCard Responds at Market LevelTransparency; 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
505 8 _aGlobal ImplementationNotes; 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; Afterword; Additional Readings; About the Author; Index; EULA
650 0 _aCustomer relations.
650 0 _aRelationship marketing.
650 0 _aBig data.
650 7 _aBUSINESS & ECONOMICS
_xDecision-Making & Problem Solving.
_2bisacsh
650 7 _aBig data.
_2fast
_0(OCoLC)fst01892965
650 7 _aCustomer relations.
_2fast
_0(OCoLC)fst00885533
650 7 _aRelationship marketing.
_2fast
_0(OCoLC)fst01093590
655 4 _aElectronic books.
655 0 _aElectronic books.
776 0 8 _iPrint version:
_aTanner, John F.
_tAnalytics and dynamic customer strategy.
_dHoboken, New Jersey : Wiley, [2014]
_z9781118905739
_w(DLC) 2014005246
_w(OCoLC)877562073
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118919767
_zWiley Online Library [Free Download only for SUST IP]
938 _aEBL - Ebook Library
_bEBLB
_nEBL4039851
938 _aBooks 24x7
_bB247
_nbkb00063524
938 _aEBL - Ebook Library
_bEBLB
_nEBL1715408
938 _aebrary
_bEBRY
_nebr10885925
938 _aEBSCOhost
_bEBSC
_n800907
938 _aIngram Digital eBook Collection
_bIDEB
_ncis28544664
938 _aRecorded Books, LLC
_bRECE
_nrbeEB00595835
938 _aYBP Library Services
_bYANK
_n11632377
938 _aYBP Library Services
_bYANK
_n11921231
938 _aYBP Library Services
_bYANK
_n12677689
994 _a92
_bDG1
999 _c64878
_d64878