Data Analytics for Business

Lessons for Sales, Marketing, and Strategy

Ira J. Haimowitz

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English

Routledge
20 December 2022

Sales & marketing management; Sales & marketing; Data capture & analysis; Machine learning

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.

By: Ira J. Haimowitz
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 460g
ISBN: 9780367281489
ISBN 10: 0367281481
Pages: 162
Publication Date: 20 December 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

"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.

Reviews for Data Analytics for Business: Lessons for Sales, Marketing, and Strategy

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