Machine age of customer insight

Table of contents: Introduction; Martin Einhorn, Michael Löffler, Emanuel de Bellis, Andreas Herrmann, and Pia Burghartz Chapter 1. Transformation of Customer Insights; Martin Einhorn and Michael Löffler Chapter 2. Intelligent Applications in the Modern Sales Organization; Gilberto Picareta, Martin Kloehn, and Eugenie Weissheim Chapter 3. Voice and Facial Coding in Market Research; Niels Neudecker, Deepak Varma, David Wright, and Robert Powell Chapter 4. Machine-Driven Content Marketing; Javiera M. Guedes, Akinbami Akinwale, and María Requemán Fontecha Chapter 5. Leveraging Customer Insights with 5G; Marco Ottawa Chapter 6. Overview of Machine Learning Tools; Brett Lantz Chapter 7. Neural Networks and Deep Learning; Hongming Wang, Ryszard Czerminski, and Andrew C. Jamieson Chapter 8. Classification Using Decision Tree Ensembles; Jochen Hartmann Chapter 9. Text Analytics and Natural Language Processing; Ted Kwartler Chapter 10. A Step-By-Step Guide for Data Scraping; Reto Hofstetter Chapter 11. Data Privacy: A Driver for a Competitive Advantage; Timo Jakobi, Max von Grafenstein, and Thomas Schildhauer Chapter 12. Data Collection: Welcome to the Experience Economy; David Mingle Chapter 13. Data Growth: Generating Business Value with Cloud Services; Gerrit Kazmaier Chapter 14. Data Competitions: Crowdsourcing With Data Science Platforms; Jenny Lena Zimmermann Chapter 15. Data Processing: Kontosensor as an Application of Predictive Analytics; Raimund Blache, Lars Fetzer, René Michel, and Tobias von Martens Chapter 16. Data Visualization: The Power of Storytelling; Ted Frank

This book demonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically.