TY  - BOOK
AU  - Prince, Jeffrey T.,
TI  -  Predictive analytics for business strategy : : reasoning from data to actionable knowledge 
SN  -  9781260084641
U1  - 658.4012 P93 23
PY  - 2019///
CY  - New York, NY
PB  - McGraw-Hill Education, 
N1  - Includes index; Chapter 1: The Roles of Data and Predictive Analytics in Business
Chapter 2: Reasoning with Data
Chapter 3: Reasoning from Sample to Population
Chapter 4: The Scientific Method: The Gold Standard for Establishing Causality
Chapter 5: Linear Regression as a Fundamental Descriptive Tool
Chapter 6: Correlation vs. Causality in Regression Analysis
Chapter 7: Basic Methods for Establishing Causal Inference
Chapter 8: Advances Methods for Establishing Causal Inference
Chapter 9: Prediction for a Dichotomous Variable
Chapter 10: Identification and Data Assessment; CBA; Bachelor of Science in Business Administration major in Financial Management
N2  - 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
ER  -