Information Technology Reference
In-Depth Information
The analytics of production data is a very powerful tool that can be used in three different
stages of the BPM cycle. In stage 5 (monitoring), it is involved in collecting information
from runtime environments to create a data source for future investigation. In stage 6 (im-
provements), analytics is heavily involved in finding new cases not previously covered by
the existing runtime. Finally, for stage 1 (discovery), simulation environments play a fun-
damental part in understanding the impact of new processes or modifications to existing
processes in the real-time existing production environment.
At the moment, there aren't any tools inside the KIE suite to create these decision analyt-
ics directly, but new features are added constantly to the existing suite. So, I wouldn't be
surprised if by the time this topic is published, some form of tooling to do this analysis is
introduced to the suite as a new experimental feature, probably as an add-on to be adopted
in the future.
As you can see in the preceding figure, events from the BPM system can be fed to the de-
cision software analysis tools, and the acquired information can be used to define new
business processes or improve existing ones. Thanks to the simulation tools, new pro-
cesses can be tested with existing data to see whether they will meet the discovered scen-
arios.
There is a lot more content regarding decision management software, and unfortunately
we can't fit it all in this topic. The tooling provided by jBPM6 can be connected to de-
cision management in one way or another, and during the course of this topic, whenever
we start explaining each tool in detail, we will mention how it can connect to the decision
management software. For the moment, let's just explain that it provides a methodology to
provide fast and continuous improvement of knowledge definitions in order to drive
smarter actions in all our systems (including our BPM systems).
