Where does the automation of decisions fit?

There are so many standards and techniques for automation out there. BPM’s BPMN, Decision modeling with DMN. Data modeling techniques and a myriad of machine learning models. Process, data & machine learning predictions prepare an organization for decision making. To make smarter, efficient decisions, decisions should be modeled centralized and automated, resulting in more streamlined and simplified processes. We, therefore, start modeling decisions before processes in automation requirements gathering. We model decisions before selecting data, before defining processes, and before training machine learning models.   

• Processes exist to get data ready to make decisions.

• Machine learning models make predictions that inform decisions but don’t make decisions in of themselves.

• Data is there to support decision making.