Haimowit I. Data Analytics for Business. Lessons...2023

Textbook in PDF format

Interest in applying analytics, Machine Learning (ML), and Artificial Intelligence (AI) 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.
Organizational Design Principles
Linking Business Challenges to Big Data Solutions
Selling the Big Data Analytics Initiative
Organizational Structures for Advanced Analytics
Lessons Learned Managing Big Data Departments
Analytics Business Applications
Segmentation: Categorizing Your Customers
Targeting: Getting it “Right”
Campaign Measurement with Learning Objectives
Strategic Text Mining
Predictive Modeling for Business
Implementation and Delivery
Privacy Considerations for Big Data Analytics
Delivering Results with Actionable Insights
Scalability and Long-Term Success