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The Need For Speed 2019
The Need for Speed 2019 study compares Excel Add-in based modeling using @RISK and Crystal Ball to programming environments such as R and Julia. All 3 aspects of speed are covered [time-to-solution, time-to-answer and processing speed] in addition to accuracy and precision.<br />
Eric Torkia
Sep 264 min read


Revolutionizing Decision Making with Collaborative Modeling and Predictive Analytics
<p><span style="font-family: arial;">When building models we are often confronted with assumptions that evolve over time. In most cases it is important to capture these changes to keep our model relevant. Over the last decade, Business Intelligence solutions have created a culture of self-service IS information. Given this democratization and decentralized access to data has created many opportunities and pitfalls for business analysts and decision-makers. We are going to ou
Eric Torkia
Sep 263 min read


Modeling a Dynamic Trade War using Julia: Assumptions, Simulation, and Impacts on the US Economy
In today's interconnected global economy, trade wars and tariff policies can have far‐reaching impacts on domestic and international markets. This blog article is intended to foster a discussion and give fellow decision modelers and strategists (Decision Superheroes) a simple framework to understand the system dynamics of a trade war. The models were coded in Julia and all the files are available on Github.
Eric Torkia
May 2210 min read
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