Businesses can have a hard time tracking down bottlenecks and issues within embedded processes. They might sense that something is causing problems, but without any way to track it down, how do they make fixes? Simple – Process Mining.
Using process mining, companies can dive deep into their processes and effectively audit them, discovering the root cause of bottlenecks or output issues. As digital acceleration continues in every industry, the need to evaluate digital processes only grows. Process mining provides businesses with many upsides with increasing pressure to reduce cost.
Why is process mining important?
Process mining is used to examine business process performance, identify improvement areas, and evaluate process enhancements. Process mining provides a data-driven visualization of process performance. This delivery method is particularly popular with non-technical business leaders because they can easily spot challenges and opportunities.
These things also make it an effective companion for tools like robotic process automation (RPA), as it can first find the optimal spots to put “bots” and then assess the RPA’s benefit. Process mining is a great catalyst for other technologies, and this is why it’s so appealing for businesses focused on digitization.
Types Of Process Mining
Although people use different names to describe the different types of process mining, there are essentially three core methods.
Discovery: Process discovery is the most common form of process mining and uses event log information to autonomously build a process model. This is usually the starting point for businesses because it requires no historical process model information.
Conformance: Conformance testing checks to see that the process model is actually followed by user behavior. This kind of process mining analyses event log data to match a process description to an existing process model and find any differences from the intended model.
Enhancement: This type of process mining takes an existing process model and enhances it using new data. For instance, quality checking results might help managers identify bottlenecks in a larger process model, allowing them to improve the process and, in turn, improve quality.
Industries Which Use Process Mining
Well, basically any.
That’s a very broad brush, but providing there is a digital component to the work that you do, then the chances are process mining can be helpful. One great example of it in action is within the manufacturing industry. In manufacturing, there is often a gulf between the digital processes that a business runs on and the physical manufacturing it does. Process mining is great in this sort of environment because it can quickly establish gaps or improvements in a wide range of processes.
Getting Started With Process Mining
Speak to an expert. No, seriously – it’s not worth spending time and money only to find out you don’t know what you’re doing. Very few businesses have the skills in-house to make process mining work. That doesn’t mean your people can’t be upskilled, but you need an expert who can help evaluate your existing processes and where the most significant wins are to be made.
Want to get started with Process Mining? PAteam are experts, just ask for our help, and we’re there.