Re-Inventing Customer Engagement Using Machine Learning

• Verfasst von: Gabrysiak, Laura [VerfasserIn]
• Titel: Re-Inventing Customer Engagement Using Machine Learning
• Institutionen: Safari, an O'Reilly Media Company. [MitwirkendeR]
• Verf.angabe: Gabrysiak, Laura
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Data Science Salon
• Jahr: 2019
• Umfang: 1 online resource (1 video file, approximately 27 min.)
• Fussnoten: Online resource; Title from title screen (viewed September 10, 2019)
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic videos ; local
• K10plus-PPN: 1726632989
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3736267339
• Lokale URL Inst.: Zum Volltext

Abstract

Consumers today are less brand loyal and primarily driven by rewards, benefits and experiences. Constant changing customer preferences and card business economics point to a need for being hyper focused on customer engagement. In this presentation, Visa Consulting & Analytics showcases some of the approaches to increase customer engagement and improve retention using Machine Learning techniques on transactional data.