The Process Modeling and Analysis Course allow me as student to address how business intelligence systems are used to support the analysis and improvement of business processes. In addition to an exploration of business process modeling (BPM), process simulation modeling (PSIM), and enterprise risk modeling the course It allow me to examine a variety of statistical simulation and modeling concepts including model validation, sensitivity estimation, and Monte Carlo simulation. The course lessons cover AB testing and optimization through simulation, including the use of Bayesian statistics in simulations used to support optimization processes. Selected cases and assignments showed us how to explore practical application of business process analytics in solving real-world quality control, user experience, and process-improvement problems. We also explore the application of course concepts in decision support systems (DSS) and the selection of key performance indicators (KPIs), including the use of balanced scorecards to monitor organization performance. This course is the wrap u of all of what we have learned thus far in BI. Probably one of the most important courses thus far.
Respectfully,
Al Florez