Data Analytics for Business - Lessons for Sales, Marketing, and Strategy

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.

List of contents

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

About the author

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.

Summary

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.

Product details

• Authors: Ira J. Haimowitz, Haimowitz Ira J.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 28.11.2022
• EAN: 9780367281502
• ISBN: 978-0-367-28150-2
• No. of pages: 162
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Business > Miscellaneous; machine learning, Business & Economics / General, BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Forecasting, BUSINESS & ECONOMICS / Information Management, BUSINESS & ECONOMICS / Project Management, BUSINESS & ECONOMICS / Marketing / Research, Sales & marketing management, Sales & marketing, Sales and marketing, Sales and marketing management, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis