Analytics and dynamic customer strategy : big profits from big data / / John F. Tanner, Jr

• Autore: Tanner John F.
• Pubblicazione: Hoboken, New Jersey : , : Wiley, , 2014
• Descrizione fisica: 1 recurso electrónico (256 páginas) : ilustraciones
• Disciplina: 658.8; 658.834
• Soggetto topico: Big data; Relaciones con los clientes; Marketing relacional; Datos masivos; Libros electrónicos
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 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 ; Chapter 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 ; Citibank 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 ; Global 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
• Sommario/riassunto: 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
• Titolo autorizzato: Analytics and dynamic customer strategy
• ISBN: 1-118-91976-9; 1-118-91978-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910829063203321
• Lo trovi qui: Univ. Federico II