While we spoke previously about what is process mining, we often hear some people confusing process mining with other tools, great tools, in their areas. It is worth tackling the most common misconceptions to clear up the potential use cases and avoid over expectations.
Although Gartner identified process mining as a strategic technology trend for 2019, it’s important to avoid dealing with process mining as a magic bullet that should solve all the issues a company maybe facing. Yes it is a powerful technology, although it will be unfair to over expect some stuff that irrelevant and shouldn’t be counted on the shoulders of process mining:
1. Process Mining doesn’t replace consultants, analysts, or process managers:
Process mining is like any other technology, built by people for people. Technology can’t work without a strong human factor, and here would be strong process analysts and consultants to look at potential optimization measures and involvement of decision makers.
2. Process mining is neither a simulation tool nor process modeling tool:
Process mining is built with automation in mind which is what creating the difference between process mining and process modeling. Process modeling is usually a way to express your idea about a process and drawing on a whiteboard, software, or piece of paper. Since process modeling is built with manual approach, the “as-is” idea of your process can be different than reality.
Although process mining might get confused with simulation models, the purpose can be entirely different in some cases. Simulation model will try to show you what if scenarios for changes, process mining can help creating better models that can be a starting point for simulation later on, and even show what need to be fixed.
3. Process Mining is not a business intelligence tool:
Although both have goals in common, process mining platforms give you a further depth and analysis you maybe looking for, and can result in getting a new KPI that was not considered, to be monitored moving forward, or a full process change. On the other side, business intelligence tools are used more for monitoring and reporting as per functionality or area of interest.
This gets us to an important point, which is process mining won’t replace business intelligence tools. We have spoken about the differences between process mining and business intelligence in this article: Is Process Mining different from Business Intelligence?
4. Process mining is not just for some processes:
The strength of process mining is that it can work with any type of processes you have in your business, not only for a specific one or just BPM or ERP systems, where processes are fairly standardized. Process mining also can be applied website journeys or legacy systems. Any process that leaves event data and activity with timestamp can be analyzed with process mining platforms.
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Coberg’s Process Mining Center of Excellence uses best technologies and platforms out there in the market to create transparency of companies’ processes. Process mining empower you to enable actionable insights based on your current historical processes data, to know the real story.
Know more about Coberg’s Process Mining Center of Excellence click here.
