Ira J. Haimowitz

Data Analytics for Business

Lessons for Sales, Marketing, and Strategy

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Routledge / Taylor & Francis
• Seitenzahl: 180
• Erscheinungstermin: 20. Dezember 2022
• Englisch
• Abmessung: 229mm x 152mm x 10mm
• Gewicht: 258g
• ISBN-13: 9780367281489
• ISBN-10: 0367281481
• Artikelnr.: 64686079

Autorenporträt

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.

Inhaltsangabe

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

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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

Rezensionen

"This book should be considered required reading for analysts, managers and executives seeking to drive business performance and gain competitive advantage through data-driven strategy and decision making. Dr. Haimowitz has distilled his considerable experience into a practical how-to guide that is sure to become a fundamental reference text for the modern analytics practitioner or manager, regardless of industry." Zaheer Benjamin, Group Leader in Business Intelligence & Analytics across Life Sciences, Broadcasting, and Major League Sports

This Data Analytics for Business written by Dr. Ira Haimowitz is an experience laden, practical book with real world examples for data analyst, marketing and business executives. The book is well written and provides a good background in design of the big data organization, data analytical applications, and implementation and delivery of the projects in easy-to- read format. The book is a must read for anyone who is interested in data analytics related to sales, marketing and strategy. Thani Jambulingam Ph.D, Professor, Department of Pharmaceutical and Healthcare Marketing, Haub School of Business, Saint Joseph's University, Philadelphia