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Emanuel de Bellis The Machine Age of Customer Insight (Paperback)

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
The Machine Age of Customer Insight
Publication Name
Machine Age of Customer Insight
Title
The Machine Age of Customer Insight
EAN
9781839096976
ISBN
9781839096976
Publisher
Emerald Publishing The Limited
Format
Trade Paperback
Release Year
2021
Release Date
15/03/2021
Item Height
248mm
Item Length
9.8 in
Item Weight
15.7 Oz
Contributor
Michael Löffler (Edited by)
Language
English
Country/Region of Manufacture
GB
Genre
Business & Finance
Author
Michael Löffler
Subject Area
Business & Economics
Subject
Marketing / General, Consumer Behavior, Commerce, Marketing / Research
Publication Year
2021
Type
Textbook
Item Width
6.7 in
Number of Pages
240 Pages

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Product Information

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.

Product Identifiers

Publisher
Emerald Publishing The Limited
ISBN-10
1839096977
ISBN-13
9781839096976
eBay Product ID (ePID)
19050406861

Product Key Features

Number of Pages
240 Pages
Language
English
Publication Name
Machine Age of Customer Insight
Publication Year
2021
Subject
Marketing / General, Consumer Behavior, Commerce, Marketing / Research
Type
Textbook
Subject Area
Business & Economics
Author
Michael Löffler
Format
Trade Paperback

Dimensions

Item Weight
15.7 Oz
Item Length
9.8 in
Item Width
6.7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2021-304107
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.83420285631
Lc Classification Number
Hf5410-5417.5
Table of Content
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
Copyright Date
2021

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