Business Case Analysis with R: Simulation Tutorials to Support Complex Business Decisions (repost)
Business Case Analysis with R: Simulation Tutorials to Support Complex Business Decisions by Robert D. Brown III
English | 5 Apr. 2018 | ISBN: 1484234944 | 282 Pages | PDF/EPUB | 10.81 MB
English | 5 Apr. 2018 | ISBN: 1484234944 | 282 Pages | PDF/EPUB | 10.81 MB
This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment.
R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis.