It is often easier said than done: Use Process Mining and optimize your processes. But the important question is: Which processes should be analyzed and optimized exactly? All of them? This could potentially mean an immense amount of effort. Selecting specific processes for analysis with Process Mining is an obvious choice for most companies. In this way you focus your optimization measures on the essential business processes and transform your company purposefully and sustainably. Nevertheless, the open issue in Process Mining remains: Which processes are suitable for analysis?
The perfect candidates for the application of Process Mining tools like LANA Process Mining have to meet a number of specific requirements. To give you a better overview of the common process fields, we will dive into some examples.
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Start with Process Mining: Which processes can I analyze?
The basic prerequisite for being able to analyze a process in tools such as LANA is data. The process must run digitally in some form or another or be recorded in an IT system. However, this does not mean that we only consider processes that take place exclusively in the computer. Practical processes such as assembly in manufacturing also leave data behind – if the machines are controlled or monitored via a virtual system.
If such data is available – usually in the form of a log file – analysis with Process Mining is theoretically possible. However, this does not mean that the effort is always appropriate. In order to decide which business processes benefit most from a Process Mining analysis, there are some helpful criteria:
The process runs at least 100 times a year.
The process runs through an IT system such as SAP or Salesforce (rigid programs such as Excel are not suitable for this).
The process requires a lot of resources or has a high capital commitment period.
The process area is critical for business success or bears high risks if it is not monitored.
If a process fulfils these points, it represents a good candidate for analysis.
In today’s complex company structures, however, it is not always easy to have an overview of all possible process areas. One after the other, checking each individual area for these criteria is time-consuming and often not very goal-oriented. Fortunately, there are a number of common processes that in most companies have a high priority in analysis and optimization.
Standard processes in Process Mining projects
The invoice departments of many companies are already fundamentally digitalized – if not actually automated. With potentially dozens or even hundreds of orders that are placed monthly in the purchasing department, there is a sufficiently large data basis for effective process analysis. The concrete use cases are manifold.
The Purchase-to-Pay (P2P) process process can traditionally be analyzed perfectly with Process Mining to find out how consistent cash discount periods are adhered to and where Maverick Buying occurs, for example. As part of this, invoice verification is also a frequently analyzed area.
Although the manufacturing industry primarily works with tangible materials, virtual data is no less in focus. Today, machines and sometimes even entire factories are controlled and monitored digitally via computer systems. At the same time, IT systems manage logistics and all ordering processes.
A strategic Process Mining analysis within the production processes often concerns final assembly as well as internal and external logistics and quality management.
At the same time, processes such as Warehouse Management, Make-to-order, Just-in-sequence and Master Data Management can also provide conclusive analysis results.
Are you ready to take a closer look at your company’s core processes with LANA Process Mining? Or do you have other process fields that you would like to analyze? Discuss all details of the method with our Process Mining experts!