Understanding the real situation of a business process has always been a challenging task for a company. Leaders may think that their process continues under ideal circumstances; however, the actual process is always different from the expected process. The company can "feel" these differences, but without any factual evidence, it is difficult to determine the problem.
With the increasing complexity of processes and technological advances, process mining has become a critical solution with growth potential. Process mining technologies enable companies to fully understand their processes and identify bottlenecks and process improvements.
According to a report by IT World, by 2020, most companies will implement processes mining technologies into their respective business models. The report also predicted that by 2025, BPM software will be responsible for 85% of process mining initiatives. That means this market will grow significantly in the next few years.
Process mining provides some unique capabilities for identifying and explaining patterns that occur in production. This includes an explanation of what caused these patterns to begin with. Companies that make use of process mining techniques can “shift to the left”, further letting people solve issues beforehand in the resolution process. In that way, the company increases customers and employee satisfaction and brings down overall costs. But the key is to make use of intelligence to determine the most appropriate areas and a left shift and make use of powerful data to make these decisions.
With considerable advancement in technology and automation, there is a unanimous market expectation for end-to-end digital experiences that are simple and consistent over time. What customers look for in a product/ service can vary, however, a standard benchmark needs to be maintained in order to enable a favorable customer experience each time.
This is where Process mining technologies act as an instrumental tool in meeting the increasing customer demands for excellence by enhancing process performance, reducing cost, minimizing redundant or repetitive tasks and, substituting them with automated processes.
While the digital transformation era is now upon us, it is only now that businesses are beginning to truly understand the role and impact of visualization in process mining.
Visualization is the graphical representation of data that highlights key patterns and, at the same time, enables a user to see and rework across their processes based on where the discrepancies lie.
In this context, dashboards are ideal for visualizing the processes that might have a glitch and understanding how it can impact customer experience or business performance.
For example, visualization and dashboarding can help :
In 2017, AI-based process optimization was a nascent practice that has emerged in a very narrow segment of the industry. This year will see a notable shift in the trend as industry watchers will witness AI-based process optimization become a 'mainstream' function of the business. The reason for this is its ability to provide insight into process inefficiencies.
Process optimization is based on AI. It employs a vast array of AI algorithms, such as unsupervised learning, reinforcement learning, deep learning, etc. to assess process design to identify 'over- and under-utilized' elements. The goal of this activity is to derive the root cause of inefficiencies and suggest corrective measures.
A few years ago, process mining was largely an enterprise initiative. In today’s reality, this practice can be made available to all. Companies that can identify and track their process KPIs can benefit from deeper process analysis. They can monitor weaknesses in their business processes and find low-risk ways to improve, thereby making them more agile in a competitive market.
The discovery of process mining and intelligence possibilities in digital transformation is an increasing trend and will become an increasingly popular use case in the future.
With the increasing complexity of processes and technological advances, process mining has become a critical solution. Process mining technologies enable companies to fully understand their processes and identify bottlenecks and process improvements.
At the moment, there may be inefficiencies in your business, but identifying such inefficiencies having such an impact isn’t easy. Process mining methods are used to find these areas and expose them - and this proves to be a key skill in your business. After this is complete, the data can be visualized in the context of the process, offering the needed catalyst for reassuring improvement. This helps decrease costs, increase employee satisfaction, and operate constantly. Further, this also results in a cut-throat business positioned for success in the future.