PREDICTIVE ANALYTICS FOR BUSINESS STRATEGY

Predictive analytics for business strategy is a book designed for courses that provide conceptual and broad-based introduction to econometrics and business analytics. It lays the foundation of a course that benefits both future analysts and managers. The course gives managers a basic understanding of what data can do in an important area of business (strategy formation) and present it in a way that doesn’t feel like a taxonomy of models and their statistical properties. It gives future analysts a bigger picture of what their analysis is trying to accomplish, and the conditions under which it can be deemed successful. It gives them tools to better reason through these ideas and communicate them to others. Highlights: 1. New Appendix -- analytics in action-- hands-on, data-based walkthrough of important concepts & techniques 2. Data challenges --- challenging data sets explained in chapters 3. Demonstration problems -- applications to develop and practice particular data skills 4. Applications --- real world data applications that lead to actionable conclusions and critical thinking 5. Illustrations to enhance the readers’ ability to communicate with a wide audience about data issues.

Jeffrey T. Prince is Professor of Business Economics & Public Policy and Harold A. Poling Chair in Strategic Management at Indiana University’s Kelley School of Business. He received his BA, in economics and BS, in mathematics and statistics from Miami University in 1998 and earned a PhD in economics from Northwestern University in 2004. Prior to joining Indiana University, he taught graduate and undergraduate courses at Cornell University. Amarnath Bose is a Professor of Decision Sciences at the Birla Institute of Management Technology (BIMTECH), Greater Noida, India. He did his B.Stat. in Statistics from the Indian Statistical Institute, Calcutta, followed by M.Stat. with specialization in Applied Statistics and Data Analysis. Prof. Bose then did his M.Tech. in Computer Science also from ISI, Calcutta. Prof. Bose teaches Statistics, Predictive Business Analytics and other papers in Decision Science. He also guides research scholars and is a frequently invited reviewer for eminent journals such as the European Journal of Operational Research and Decision Support Systems. Professor Bose’s research interests lie in multivariate analytic techniques, artificial intelligence – neural networks, genetic algorithms, Data Envelopment Analysis and mathematical and computational modeling.

Source: https://www.amazon.in/PREDICTIVE-ANALYTICS-BUSINESS-STRATEGY-Jeffrey/dp/9390219817/ref=sr_1_1?crid=3H4D5RFX56E5N&dib=eyJ2IjoiMSJ9.GHjX9RVDLMzsifM7ul8L8A.tW6mstqYf5ucM5A2lPzEodqTx1V94ZZNbeafIToYDUI&dib_tag=se&keywords=9789390219810&qid=1752228494&sprefix=9781138293090%2Caps%2C468&sr=8-1