Benefits of Process Mining
It is a powerful technology that allows companies to build and maintain digital models of their business processes. It uses machine learning and cognitive computing to analyze data from existing applications, databases, or systems to identify patterns in the data. These patterns can then be used to optimize efficiency and cost-reduction processes.
Here are some reasons why process mining is beneficial:
- It helps you find errors in your business processes and allows you to fix them before they lead to more significant problems down the road.
- It helps you understand what your customers want better so that you can give them what they want faster than your competitors and simultaneously make more money.
- It helps companies save money on labor costs by automating repetitive tasks that were previously done by manual workers who weren’t getting paid much anyway because they weren’t being productive enough during their shifts doing those repetitive tasks all day long every single day.
Challenges of Traditional Process Analysis
There are several challenges associated with traditional process analysis.
Usually, processes are analyzed by recording the As-is process (if not done previously) and then deriving a To-be process before examining the gap between the two and taking concrete actions. This has traditionally been done by conducting drowning workshops and interviews with one or more people involved. Other methods include work shadowing or, the more modern approach, screen recording.
One specific problem arises when using this method. People see the process through their own eyes and are, in most cases, biased towards specific conduct of the process. Often, this will prevent recording all variations and, thereby, does not uncover some of the most significant cost drivers within the process. While individual biases may be reduced by conducting workshops with several process participants, it still suffers from biases since some opinions weigh stronger and are more dominant than others. Hence, it would need a more data-driven approach to resolve biases. A second issue with traditional process recording is that these methods are time-consuming and lack a guarantee for success in many cases.
Process mining supports Automated Decision-Making
Process mining is a process that is used for organizations to make automated decisions about their processes. The process mining software will look at all the data collected throughout the different stages of the process. Then it will analyze this information to determine which stage or stage is more likely to be completed successfully.
This means an organization can use this software to make automated decisions on when they should stop certain stages of their processes or simply continue with these stages without any further action being taken.
It can be used in many other areas besides just IT. For example, it could be used for human resources (HR) or even marketing departments within an organization.
Conclusion
As companies and research centers work on refining process mining technology, we can expect to see an expansion of process mining capabilities. It can add tangible value to many different types of businesses. Still, one thing is sure: as organizations and individuals explore these benefits, they will better understand how to enable the future of efficiency we mentioned above.
Don’t hesitate to reach out if you’re interested in discussing how process mining can improve your business operations. Let’s connect and explore the possibilities