At the dusk of 2019 I shared some reflections on what Process Mining (PM) is (go ahead, have a read, I'll wait). In a nutshell, it is a powerful (and #digitaltransformation compliant) process discovery tool.
As 2020 reaches cruising altitude after a bumpy January (looming war, scary pandemic, Europe loosing a couple pounds and more), the dust is settling and we can try to see where the technology is heading.
The most interesting prediction from Skan (an AI based PM vendor) is how Process Mining will become the de facto precursor for automation endeavors, given how RPA has hit some road blocks on its way to mainstream adoption.
Indeed, RPA implementations are focused on swift deployments, sometimes overlooking the need to obtain a deeper understanding of the underlying business processes or simply not having the resources (tools, time or access) to perform an adequate assessment of the as-is situation.
Two quick reflections:
1. Using RPA is much more than churning out bots to perform processes in their current, sometimes inefficient state. Adequate stakeholders beyond IT and a business perspective to the endeavor are absolut musts to get it right.
2. Process mining is not for everything or everyone (more on that for a next post), but where it does fit, it can be exactly the link that pieces the whole process together: it's faster and less intrusive than more classic approaches to process discovery.
For more predictions for 2020 on Process Mining, click through to the article, it is definitely a worthy read.
Considering the fact it takes 6-9 months of “hardening” to make a bot work to account for all the process nuances, Process Discovery will emerge as the de facto precursor to enterprise automation efforts.