The Machine Age of Customer Insight
- Length: 256 pages
- Edition: 1
- Language: English
- Publisher: Emerald Publishing
- Publication Date: 2021-03-15
- ISBN-10: 1839096977
- ISBN-13: 9781839096976
- Sales Rank: #3409569 (See Top 100 Books)
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.
Cover Half title Title Copyright Table of Contents 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
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