This study source was downloaded by 100000865965430 from CourseHero.com on 05-05-2023 14:59:49 GMT -05:00https://www.coursehero.com/file/63037282/BUS-660-Data-Analysis-Case-Studydocx/ BENCHMARK: DATA ANALYSIS CASE STUDYBenchmark: Data Analysis Case StudyKawanna HinesGCU BUS-660/Quantitative MethodsProfessor Alin TomoiagaApril 15, 2020This study source was downloaded by 100000865965430 from CourseHero.com on 05-05-2023 14:59:49 GMT -05:00https://www.coursehero.com/file/63037282/BUS-660-Data-Analysis-Case-Studydocx/BENCHMARK: DATA ANALYSIS CASE STUDYWhy Wait! Is it always necessary to wait in line for anything? The answer is yes and no.Each day we wait in line for something. Whether physically, virtually or electronically, waiting lines are always in our view. Some examples include driving in traffic, ordering lunch or dinner, shopping at your favorite retailer or even going to the bathroom. The waiting time for customers is affected by how the waiting line system is designed. A waiting line system is defined by the need of its customers and the process or service provided to them. Various waiting line systems and performance measures bring about different results based on the need and performance of the service provided. Performance characteristics are calculated for different waiting line systems. We conclude with descriptions of managerial decisions related to waiting line system design and performance. Any time there is more customer demand for a service than can be provided, a waiting