TY  - BOOK
AU  - James, R. Evans.
TI  - Internet resource, computer file
SN  - 9781292095455
U1  - 658.401 23
PY  - 2016///
CY  - Boston
PB  - Pearson Education
KW  - OCLC
KW  - Strategic planning
KW  - Business planning
KW  - Industrial management--Statistical methods
KW  - Commercial statistics
N1  - Table of contents:
Part 1: Foundations of Business Analytics 1. Introduction to Business Analytics 2. Analytics on Spreadsheets 
Part 2: Descriptive Analytics 3. Visualizing and Exploring Data 4. Descriptive Statistical Measures 5. Probability Distributions and Data Modeling 6. Sampling and Estimation 7. Statistical Inference 
Part 3: Predictive Analytics 8. Trendlines and Regression Analysis 9. Forecasting Techniques 10. Introduction to Data Mining 11. Spreadsheet Modeling and Analysis 12. Monte Carlo Simulation and Risk Analysis 
Part 4: Prescriptive Analytics 13. Linear Optimization 14. Applications of Linear Optimization 15. Integer Optimization 16. Decision Analysis Supplementary Chapter A (online): Nonlinear and Non-Smooth Optimization Supplementary Chapter B (online): Optimization Models with Uncertainty Appendix A Glossary Index
N2  - Summary:
A balanced and holistic approach to business analytics 'Business Analytics', teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organisations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions
UR  - http://classify.oclc.org/classify2/ClassifyDemo?owi=1088329440
ER  -