In the second half of the morning, we started with James Taylor of Decision Management Solutions showing how to use decision modeling for simpler, smarter, more agile processes. He showed what a process model looks like in the absence of externalized decisions and rules: it’s a mess of gateways and branches that basically creates a decision tree in BPMN. A cleaner solution is to externalize the decisions so that they are called as a business rules activity from the process model, but the usual challenge is that the decision logic is opaque from the viewpoint of the process modeler. James demonstrated how the DecisionsFirst modeler can be used to model decisions using the Decision Model and Notation standard, then link a read-only view of that to a process model (which he created in Signavio) so that the process modeler can see the logic behind the decision as if it were a callable subprocess. He stepped through the notation within a decision called from a loan origination process, then took us into the full DecisionsFirst modeler to add another decision to the diagram. The interesting thing about decision modeling, which is exploited in the tool, is that it is based on firmer notions of reusability of data sources, decisions and other objects than we see in process models: although reusability can definitely exist in process models, the modeling tools often don’t support it well. DecisionsFirst isn’t a rules/decision engine itself: it’s a modeling environment where decisions are assembled from the rules and decisions in other environments, including external engines, spreadsheet-based decision tables, or knowledge sources describing the decision. It also allows linking to the processes from which it is invoked, objectives and organizational context; since this is a collaborative authoring environment, it can also include comments from other designers.
François Chevresson-Aubain and Aurélien Pupier of Bonitasoft were up next to show how to build flexibility into deployed processes through a few simple but powerful features. First, adding collaboration tasks at runtime, so that a user in a pre-defined step who needs to include other users at that point can do so even if collaboration wasn’t built in at that point. Second, process model parameters can be changed (by an administrator) at runtime, which will impact all running processes based on that model: the situation demonstrated was to change an external service connector when the service call failed, then replay the tasks that failed on that service call. Both of these features are intended to address dynamic environments where the situation at runtime may be different from that at design time, and how to adjust both manual and automated tasks to accommodate those differences.
We finished the morning with Robert Shapiro of Process Analytica on improving resource utilization and productivity using his Optima workbench. Optima is a tool for a serious analyst – likely with some amount of statistical or data science background – to import a process model and runtime data, set optimization parameters (e.g., reduce resource idleness without unduly impacting cycle time), simulate the process, analyze the results, and determine how to best allocate resources in order to optimize relative to the parameters. Although a complex environment, it provides a lot of visualization of the analytics and optimization; Robert actually encourages “eyeballing” the charts and playing around with parameters to fine-tune the process, although he has a great deal more experience at that than the average user. There are a number of analytical tools that can be applied to the data, such as critical path modeling, and financial parameters to optimize revenues and costs. It can also do quite a bit of process mining based on event log inputs in XES format, including deriving a BPMN process model and data correlation based on the event logs; this type of detailed offline analysis could be applied with the data captured and visualized through an intelligent business operations dashboard for advanced process optimization.
We have one more short session after lunch, then best in show voting before bpmNEXT wraps up for another year.