Apply Models & Forecasting to Master Business Process Design

In this course, we discuss how to manage business process, how they relate to the organization and what external elements can affect them; breaking down their components (process analysis), put them back together but in better flexible shape (business design). 

What pieces of data to log in order to discover trends, patterns and details hidden in the way the processes work (process mining), how to represent processes so they can be analized (process modeling). And yes, BPMN goes here. 

We also approach rules that guide the way organizations do things (Business Rules). Discover what is hidden in the common idiom "a chain is no stronger than its weakest link (Theory of Constraints) and how it affects your organization and your activities. 

Modeling is next on the agenda. George Box, one of the great statistical minds of the 20th century, said that "all models are wrong but some are useful". Do you want to know why? We expose how you can use models to explore and explain processes and ideas. We explore techniques to represent and explain business processes and data models as well.

We close this course by looking at estimation, forecasting and theories as Bayes Law and Power Law to provide you with tools to foresee the future and prepare for possible outcomes. 

Yes, we borrow these techniques from Business Process Management and Business Analysis. They are useful to adapt to change and improve processes for the benefit of the customers and all parties envolved and they are promising means to advance your career as well, either you want to become a Business Analyst or if you want to broaden your own Profession Success Toolkit.