The Machine Age of Customer Insight / edited by Martin Einhorn, Michael Löffler, Emanuel de Bellis, Andreas Herrmann, Pia Burghartz.

The Machine Age of Customer Insight 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 a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Einhorn, Martin, Löffler, Michael, de Bellis, Emanuel, Herrmann, Andreas, Burghartz, Pia
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley : Emerald Publishing Limited, 2021.
Temas:
Consumer behavior > Data processing.
Machine learning.
Consommateurs > Comportement > Informatique.
Apprentissage automatique.
Market research.
Business & Economics > Marketing > General.
Consumer behavior > Data processing
Machine learning
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction / Martin Einhorn, Michael Löffler, Emanuel de Bellis, Andreas Herrmann, and Pia Burghartz
  • Transformation of customer insights / Martin Einhorn and Michael Löffler
  • Intelligent applications in the modern sales organization / Gilberto Picareta, Eugenie Weissheim and Martin Kloehn
  • Voice and facial coding in market research / Niels Neudecker, Deepak Varma, David Wright, and Robert Powell
  • Machine-driven content marketing / Javiera M. Guedes, Akinbami Akinwale, and María Requemán Fontecha
  • Leveraging customer insights with 5G / Marco Ottawa
  • Overview of machine learning tools / Brett Lantz
  • Neural networks and deep learning / Hongming Wang, Ryszard Czerminski, and Andrew C. Jamieson
  • Classification using decision tree ensembles / Jochen Hartmann
  • Text analytics and natural language processing / Ted Kwartler
  • A step-by-step guide for data scraping / Reto Hofstetter
  • Data privacy: a driver for a competitive advantage / Timo Jakobi, Max von Grafenstein, and Thomas Schildhauer
  • Data collection: welcome to the experience economy / Bruce Temkin
  • Data technology: turning business data into business value / Irfan Khan
  • Data competitions: crowdsourcing with data science platforms / Jenny Lena Zimmermann
  • Data processing: Kontosensor as an application of predictive analytics / Raimund Blache, Lars Fetzer, René Michel, and Tobias von Martens
  • Data visualization: the power of storytelling / Ted Frank.

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