Data Analytics for Business

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A01=Ira J. Haimowitz
advanced analytics implementation guide
Author_Ira J. Haimowitz
Big Data
Big Data Analytics
Big Data Analytics Solutions
Big Data Analytics Technique
Big Data Initiative
Big Data Organizations
Big Data Projects
Business Challenges
Business Process
business process modeling
campaign measurement
Capabilities Grid
Category=KJMV7
Category=KJS
Category=UNC
Category=UYQM
Crosswalk File
Customer Id
Data Privacy
Data Sets
Endemic Websites
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Holdout Sample
Knowledge Management Database
Large Training Sample
organizational analytics
Organizational Design
Organizational Structures
Personally Identifiable Information
predictive analytics
Predictive Modeling
Prescription Claims Data
privacy in data science
Recent Clinical Trial Results
Roc Curve
Sales Force Automation Systems
Salient Metrics
Self-reported Fitness
Strategic Text Mining
Targeting
text mining
Unstructured Text Data

Product details

  • ISBN 9780367281502
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 20 Dec 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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 business analytics. 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.

Ira J. Haimowitz, Ph.D. is a product management consultant currently specializing in developing and delivering strategy and analytics solutions for the life sciences sector, with over 20 years' experience across industries.

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