Prelims
The Machine Age of Customer Insight
ISBN: 978-1-83909-697-6, eISBN: 978-1-83909-694-5
Publication date: 15 March 2021
Citation
(2021), "Prelims", Einhorn, M., Löffler, M., de Bellis, E., Herrmann, A. and Burghartz, P. (Ed.) The Machine Age of Customer Insight, Emerald Publishing Limited, Leeds, pp. i-vi. https://doi.org/10.1108/978-1-83909-694-520211001
Publisher
:Emerald Publishing Limited
Copyright © 2021 Emerald Publishing Limited
Half Title Page
The Machine Age of Customer Insight
Title Page
The Machine Age of Customer Insight
Edited by
Dr. Martin Einhorn
Director of Customer Evaluation and Analytics, Porsche AG, Germany
Prof. Dr. Michael Löffler
Vice President for Sales Planning and Strategy, Porsche AG, Germany
Prof. Dr. Emanuel de Bellis
Assistant Professor, University of Lausanne, Switzerland
Prof. Dr. Andreas Herrmann
Full Professor and Director, University of St. Gallen, Switzerland
Pia Burghartz
PhD Candidate and Research Associate, University of St. Gallen, Switzerland
United Kingdom – North America Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
Howard House, Wagon Lane, Bingley BD16 1WA, UK
First edition 2021
Copyright © 2021 Emerald Publishing Limited
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British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
ISBN: 978-1-83909-697-6 (Print)
ISBN: 978-1-83909-694-5 (Online)
ISBN: 978-1-83909-696-9 (Epub)
- Prelims
- Introduction
- Part 1 Transformation
- Chapter 1 Transformation of Customer Insights
- Chapter 2 Intelligent Applications in the Modern Sales Organization
- Chapter 3 Voice and Facial Coding in Market Research
- Chapter 4 Machine-Driven Content Marketing
- Chapter 5 Leveraging Customer Insights with 5G
- Part 2 Analytical Tools
- Chapter 6 Overview of Machine Learning Tools
- Chapter 7 Neural Networks and Deep Learning
- Chapter 8 Classification Using Decision Tree Ensembles
- Chapter 9 Text Analytics and Natural Language Processing
- Chapter 10 A Step-by-Step Guide for Data Scraping
- Part 3 Success Factors
- Chapter 11 Data Privacy: A Driver for Competitive Advantage
- Chapter 12 Data Collection: Welcome to the Experience Economy
- Chapter 13 Data Technology: Turning Business Data into Business Value
- Chapter 14 Data Competitions: Crowdsourcing with Data Science Platforms
- Chapter 15 Data Processing: KontoSensor as an Application of Predictive Analytics
- Chapter 16 Data Visualization: The Power of Storytelling
- Index