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Machine Age of Customer Insight [Pehme köide]

Edited by (University of St. Gallen, Switzerland), Edited by (Porsche, Germany), Edited by (University of Lausanne, Switzerland), Edited by (University of St. Gallen, Switzerland), Edited by (Porsche, Germany)
  • Formaat: Paperback / softback, 240 pages, kõrgus x laius x paksus: 248x171x14 mm, kaal: 444 g
  • Ilmumisaeg: 15-Mar-2021
  • Kirjastus: Emerald Publishing Limited
  • ISBN-10: 1839096977
  • ISBN-13: 9781839096976
  • Formaat: Paperback / softback, 240 pages, kõrgus x laius x paksus: 248x171x14 mm, kaal: 444 g
  • Ilmumisaeg: 15-Mar-2021
  • Kirjastus: Emerald Publishing Limited
  • ISBN-10: 1839096977
  • ISBN-13: 9781839096976
We are living in a new machine age offering unique opportunities, particularly for generating customer insights, which is radically transforming the way business value is created. Across industries, players are affected by the pace of progress of machine learning tools, novel technologies, and the abundance of data. These developments require mastering new capabilities.



The Machine Age of Customer Insight explains the transformation of customer insights and demonstrates the growing impact of machine learning. Thought leaders from renowned universities in the US and Europe as well as from different industries provide a comprehensive overview. Addressing both academics and practitioners, they discuss the transformation, cutting edge tools, and success factors to thrive in the new age.





The book shows how machine learning helps to understand customers better and faster. It supports everyone who considers the machine age a great opportunity to gain a competitive advantage by transforming customer insights into business value.
Introduction 1(4)
Martin Einhorn
Michael Loffler
Emanuel de Bellis
Andreas Herrmann
Pia Burghartz
Part 1 Transformation
Chapter 1 Transformation of Customer Insights
5(14)
Martin Einhorn
Michael Loffler
Chapter 2 Intelligent Applications in the Modern Sales Organization
19(18)
Gilberto Picareta
Eugenie Weissheim
Martin Klohn
Chapter 3 Voice and Facial Coding in Market Research
37(14)
Niels Neudecker
Deepak Varma
David Wright
Robert Powell
Chapter 4 Machine-Driven Content Marketing
51(14)
Javiera M. Guedes
Akinbami Akinwale
Maria Requeman Fontecha
Chapter 5 Leveraging Customer Insights with 5G
65(14)
Marco Ottawa
Part 2 Analytical Tools
Chapter 6 Overview of Machine Learning Tools
79(12)
Brett Lantz
Chapter 7 Neural Networks and Deep Learning
91(12)
Hongming Wang
Ryszard Czerminski
Andrew C. Jamieson
Chapter 8 Classification Using Decision Tree Ensembles
103(16)
Jochen Hartmann
Chapter 9 Text Analytics and Natural Language Processing
119(10)
Ted Kwartler
Chapter 10 A Step-by-Step Guide for Data Scraping
129(18)
Reto Hofstetter
Part 3 Success Factors
Chapter 11 Data Privacy: A Driver for Competitive Advantage
147(12)
Timo Jakobi
Max von Grafenstein
Thomas Schildhauer
Chapter 12 Data Collection: Welcome to the Experience Economy
159(10)
Bruce Temkin
Chapter 13 Data Technology: Turning Business Data into Business Value
169(14)
Irfan Khan
Chapter 14 Data Competitions: Crowdsourcing with Data Science Platforms
183(16)
Jenny Lena Zimmermann
Chapter 15 Data Processing: KontoSensor as an Application of Predictive Analytics
199(12)
Raimund Blache
Lars Fetzer
Rene Michel
Tobias von Martens
Chapter 16 Data Visualization: The Power of Storytelling
211(14)
Ted Frank
Index 225
Martin Einhorn is Director of Customer Evaluation and Analytics at Porsche and lecturer at Sigmund Freud University Vienna.



Michael Löffler is Vice President for Sales Planning and Strategy at Porsche, leading several departments responsible for sales and marketing strategy, worldwide training, organizational development, and innovation.





Emanuel de Bellis is Assistant Professor of Marketing at the University of Lausanne. His research explores how consumers perceive and use autonomous products and other AI-based technologies.







Andreas Herrmann is Director for Marketing and Research Methods at the Institute for Customer Insight at the University of St. Gallen and Visiting Professor at the London School of Political Science.





Pia Burghartz is a PhD candidate and research associate at the Institute for Customer Insight at the University of St. Gallen. Her research deals with consumers' acceptance of autonomous driving and shared mobility.