Data Analytics for Business - Ira J. Haimowitz

Data Analytics for Business

Lessons for Sales, Marketing, and Strategy
Buch | Hardcover
162 Seiten
2022
Routledge (Verlag)
978-0-367-28150-2 (ISBN)
155,85 inkl. MwSt
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.
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.

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

Erscheinungsdatum
Zusatzinfo 19 Tables, black and white; 36 Line drawings, black and white; 36 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 152 x 229 mm
Gewicht 280 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Theorie / Studium
Wirtschaft Betriebswirtschaft / Management Marketing / Vertrieb
Wirtschaft Volkswirtschaftslehre
ISBN-10 0-367-28150-3 / 0367281503
ISBN-13 978-0-367-28150-2 / 9780367281502
Zustand Neuware
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