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Business Case Analysis with R
• What we'll do Robert Brown is the author of the soon to be released "Business Case Analysis with R: Simulation Tutorials to Support Complex Business Decisions" through the prestigious technical publishing company, Springer-Nature. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. In the meantime, The statistical programming language 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. The tutorial teaches you how to use 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. In this presentation, Robert will discuss the rationale for using R for business case simulation, provide guidance on how to set up the analysis for the most effective use, and how to interpret results so that business decisions can be made quickly and in the most informationally efficient manner possible. • What to bring • Important to know

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    The Data Science and Business Intelligence Society of Atlanta is a vendor-neutral organization created for the purpose of sharing knowledge and experiences relative to data science and business intelligence, exploratory and predictive analytics.

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