It’s funny how some things generate more interest than others.
I was going through my twitter feed last week and was intrigued by a tweet about the Process Mining Manifesto that was released recently by the IEEE.
Process mining is a topic that been around for some time.
I’ve heard of it, but never personally see it work.
It’s an interesting topic, well related to BPM. So to overcome my general ignorance on the subject I did a bit of research.
Now if I understand correctly, process mining is all about discovering and improving processes by extracting data from event and transaction logs.
Process mining enables to extract the process model from the data. Discovering the real process and actual business rules. Documenting your factual ‘as is’ processes.
There are some process mining tools in the market:
Fourspark , Fujitsu, Futura Process Intelligence, Open Connect, Perceptive Software, Process Sphere, QPR, Software AG, StereoLOGIC, TU/e, UPC, Verint
(Apologies to any other process mining vendors that I missed)
Reading the vendor’s publications, there is a bit of confusion in the messaging.
Some call it “process discovery”, some explain its value in improving the process by analysing the real data (although you could probably do most of this using your standard reporting tools)
The value of process mining, it seems, is in basing the objective analysis of real data, not the subjective views of different stakeholders (each 2 stakeholders have 3 views on how the process currently runs and 4 views on how it should run..) Building the process model based on objective data, not the subjective views of humans.
Anyway, back to my digging…