The machine age of customer insight

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 a...

Full description

Saved in:
Bibliographic Details
Other Authors: Einhorn, Martin, (Editor), Loffler, Michael, (Editor), Bellis, Emanuel, (Editor), Herrmann, Andreas, (Editor), Burghartz, Pia, (Editor)
Format: eBook
Language: English
Published: Bingley, U.K. : Emerald Publishing Limited, 2021.
Subjects:
Consumer behavior > Data processing.
Machine learning.
Business & Economics > Marketing > General.
Market research.
elektronické knihy
electronic books
ISBN: 9781839096969
Physical Description: 1 online resource (vi, 231 pages)

Cover

Table of contents

LEADER 04385nam a2200433Ii 4500
001 em-9781839096969
003 UtOrBLW
005 20210329115659.0
006 m o d
007 cr un|||||||||
008 210401t20212021enk ob 001 0 eng d
020 |a 9781839096969  |q (e-book) 
040 |a UtOrBLW  |b eng  |e rda  |c UtOrBLW 
080 |a 658.8 
245 0 4 |a The machine age of customer insight /  |c edited by Martin Einhorn (Prosche, Germany), Michael Löffler (Porsche, Germany), Emanuel de Bellis (University of Lausanne, Switzerland), Andreas Herrmann (University of St. Gallen, Switzerland), Pia Burghartz (University of St. Gallen, Switzerland). 
264 1 |a Bingley, U.K. :  |b Emerald Publishing Limited,  |c 2021. 
264 4 |c ©2021 
300 |a 1 online resource (vi, 231 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
504 |a Includes bibliographical references. 
505 0 |a 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. 
520 |a 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. 
588 0 |a Print version record. 
650 0 |a Consumer behavior  |x Data processing. 
650 0 |a Machine learning. 
650 7 |a Business & Economics  |x Marketing  |x General.  |2 bisacsh 
650 7 |a Market research.  |2 bicssc 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Einhorn, Martin,  |e editor. 
700 1 |a Loffler, Michael,  |e editor. 
700 1 |a Bellis, Emanuel,  |e editor. 
700 1 |a Herrmann, Andreas,  |e editor. 
700 1 |a Burghartz, Pia,  |e editor. 
776 0 8 |i PDF version:  |z 9781839096945 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781839096945  |y Full text 

Similar Items