Multi... Process Mining

So, we now just wait?

Overall, I think that the strategy of letting the database community do what it does best – deliver high-performance data systems – is already paying off for process mining. As illustrated for Event Knowledge Graphs: We can gain already state-of-the-art performance and scalability using off-the-shelf data management systems with very minimal effort.

How mature is it?

The term OCPM itself has been coined in 2019 with first roots in 2017 and in 2018. Yet, the topic of modeling and analyzing processes “as-is” rather than through artificial sequences of events is almost as old as the field of process mining itself.

If it’s so good, why isn’t everyone doing OCPM?

Despite all these tangible benefits and demonstrated viability, OCPM has not become the mainstream approach to process mining. Many vendors and practitioners are adopting OCPM much more slowly.

How do we handle our socio-technical debt of “case-centric thinking”? How do we migrate?

Reducing technical debt is hard – especially if it is in the very systems that you rely on to generate revenue or reduce costs. We cannot simply swap out a classical case-centric solution for an object-centric one. Instead, we need migration strategies. This is something that we have not been discussing in the process mining community so far – at least not broadly and certainly not within the academic community.

Where does OCPM drive value?

Technologies and methods are adopted in society if they provide some form of benefit. In an industrial context, this benefit is often seen in specific, measurable value for the organization, for example through cost reduction, increased quality, increased productivity in the process itself or in the organization itself through improved well-being of workers or patients or reduced wear and tear of equipment.