Ontonix and
PRB have integrated OntoNet™, the World's first real-time
Quantitative Complexity Management engine into PRB's DDD DataPicker™
system. The
DDD DataPicker™
system is an advanced and configurable platform for document, process
and workflow management which is used mainly in banks to monitor a
multitude of processes. Integration of OntoNet™ with the DDD system
allows its users to measure in real-time the complexity of various
processes and to quickly identify those that are excessively complex
thereby reducing process efficiency. Moreover, the system allows users
to identify which phases of a particular process are responsible for
high complexity, indicating quickly where to intervene.
The following slide illustrates the dashboard showing the process of "Credit Management" and its various phases. Without going into the details, the various dials on the dashboard indicate process simplicity (the complement to complexity) from a process management standpoint (0%- low simplicity = hard to manage, 100% - high simplicity = easy to manage). The color of the dials, on the other hand, indicates process robustness (green = robust, red = fragile).
Clicking on any of the above dials opens a window which illustrates the highest (3) contributors to the complexity of a particular phase of a give process, and produces the so-called Complexity Profile (i.e. breakdown into components).
Finally, each curve may be navigated interactively, enabling users to identify quickly periods of high complexity and/or low process robustness and to identify the causes.
The objective, of course, is to make processes more robust 8stable and repeatable) as well as more efficient. The final goal is to cut costs without sacrificing efficiency and customer satisfaction. More soon.
www.ontonix.com.
