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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...

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書目詳細資料
其他作者: Einhorn, Martin (Editor), Loffler, Michael (Editor), Bellis, Emanuel (Editor), Herrmann, Andreas (Editor), Burghartz, Pia (Editor)
格式: 電子 電子書
語言:英语
出版: Bingley, U.K. : Emerald Publishing Limited, 2021.
主題:
Consumer behavior > Data processing.
Machine learning.
Business & Economics > Marketing > General.
Market research.
在線閱讀:https://doi.org/10.1108/9781839096945
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書本目錄:
  • 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.

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