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El. knyga: Data Analytics for Business: Lessons for Sales, Marketing, and Strategy [Taylor & Francis e-book]

  • Formatas: 162 pages, 19 Tables, black and white; 36 Line drawings, black and white; 36 Illustrations, black and white
  • Išleidimo metai: 20-Dec-2022
  • Leidėjas: Routledge
  • ISBN-13: 9780429300363
  • Taylor & Francis e-book
  • Kaina: 147,72 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standartinė kaina: 211,02 €
  • Sutaupote 30%
  • Formatas: 162 pages, 19 Tables, black and white; 36 Line drawings, black and white; 36 Illustrations, black and white
  • Išleidimo metai: 20-Dec-2022
  • Leidėjas: Routledge
  • ISBN-13: 9780429300363
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 authors 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.
Organizational Design Principles
1. Linking Business Challenges to Big
Data Solutions
2. Selling the Big Data Analytics Initiative
3. Organizational
Structures for Advanced Analytics
4. Lessons Learned Managing Big Data
Departments Analytics Business Applications
5. Segmentation: Categorizing
Your Customers
6. Targeting: Getting it "Right"
7. Campaign Measurement with
Learning Objectives
8. Strategic Text Mining
9. Predictive Modeling for
Business Implementation and Delivery
10. Privacy Considerations for Big Data
Analytics
11. Delivering Results with Actionable Insights
12. Scalability and
Long Term Success
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.