Custom cover image
Custom cover image

Data analytics for business : lessons for sales, marketing, and strategy / Ira J. Haimowitz

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: New York, NY : Routledge, 2023Description: 1 Online-Ressource (xiv, 161 pages) : illustrationsISBN:
  • 9780429300363
  • 0429300360
  • 9781000786187
  • 1000786188
  • 9781000786088
  • 1000786080
Subject(s): Additional physical formats: 9780367281502. | 9780367281489. | 9780367281502 | Erscheint auch als: Data analytics for business. Druck-Ausgabe New York, NY : Routledge, 2023DDC classification:
  • 658/.05
LOC classification:
  • HF5548.2
Online resources: Summary: "Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real world business applications. The foundation of this text is the author's 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and data-driven artificial intelligence. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics"--PPN: PPN: 1882638794Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT