Launching a new store is one of the most important decisions a proprietor must make, with the placement of the store making the difference between financial success and financial ruin. However, since such decisions are based on data sampling and payroll records, a fully realistic analysis is often not feasible. Under such circumstances, a faulty analysis may lead to faulty decision-making, which in turn affects the business. In recent years, gradually maturing technology and its various applications have allowed researchers to use data about people flow to model real customer behavior. This paper discusses the analysis of this data as it pertains to the execution of a store launch. To test the efficacy of our methods, we will use the data from Feng Chia University as the basis for our analysis and discuss how to use it to determine a suitable location for the school cafeteria.