Process mining technology, powered by machine learning and artificial intelligence, uses existing IT systems to create a visual map of an organization’s business processes. Decision makers can visualize and analyze claims, liabilities and claims to gain a better understanding of how these processes work in real life. This is where Process Mining, a new technology from the University of California, San Diego School of Business, comes in.
Technology harnesses the vast amounts of data that are accumulated in large organizations to understand human behavior, automatically reconstruct how an organization functions, and find ways to improve it. Processes usually differ from the ones they want, and companies need data – driven evidence – to repair their processes that improve their processes. How – it is crucial that processes are understood not only in terms of their actual performance, but also in the context of the organization’s business model.
The term Automated Business Process Discovery is used specifically for a technique that takes an event log as input and generates a business model as output. In a broader context, however, the term process mining is also used to refer to the process models discovered on the basis of event logs. Process techniques are often used when no other approach can get a formal description of a process or the quality of the existing documentation is questionable.
In abstract terms, process mining is a technique used to understand a business process by analyzing what is actually happening in the system, which can of course be very different from what we think.
If you were to build an IT taxonomy, Process Mining would likely be at the interface between BPM and data mining, says David Hirschman, senior vice president of product management at Salesforce.com. For example, it is possible to draw conclusions about the process of managing sales managers by analysing company data – recorded events in the field. Com or the processes of marketing and sales management in the sales organization of a company by analyzing event minutes.
Process Mining closes the gap between Business Process Management (BPM) and Data Mining techniques. The input to a process mining technique is event data that records information about the execution of business processes. It can be divided into three main categories: Process processing, process analysis and process data analysis.
Data generated from the execution of business processes in an information system is used to reconstruct a process model. Process discovery creates a model that reflects the actual behavior recorded in logged data based on information about the process using log event data. By means of process recognition, process analysis and process data analysis, data generated during the execution of a business process in information systems is used to reconstruct process models.
Process Mining is an innovative approach and has evolved since Cook and Wolf analyzed software engineering processes in the late 1990s. Based on the principles of process discovery, process analysis and process data analysis, it is the result of a collaboration between Cook, Wolf and their colleagues at IBM.
Agrawal, Gunopulos, Herbst and Karagiannis introduced process mining in the context of workflow management. Process Mining Software is able to optimize workflows in a process-oriented discipline by restructuring business processes.
It enables companies to conduct in-depth process analyses themselves to identify the causes of poor processes, identify and visualize compliance violations, and support the management of compliance issues such as compliance compliance, compliance monitoring, and compliance enforcement. Process mining software vendors claim the technology can analyse normal workflows, which could indicate an increased risk. The data visualization component of the software can show users which processes are running at a given time based on the evaluated protocols.
Process Mining allows you to gain insight into the processes from the user’s perspective, not only from a technical but also from an operational perspective.
Using the data collected in your IT system, Process Mining allows you to identify areas where improvements and reinforcements are needed for your business, whether you are an SME or a large company. Process Mining is a powerful technology that allows you to optimize business processes. Many of the processes you want to optimize, modify or automate already exist in the systems you use.
If your organization is not process management oriented, it cannot perform process mining. There are at least seven things you can do for your business, but not all.
Process Mining is used effectively to analyze the current state of your company’s process performance, identify areas of improvement and evaluate the results of process improvements. Process Mining represents a data-based view of the impact of RPA on business and performance. This allows you to first identify the best places to implement bots and then provide a way to calculate the positive impact of an RPA implementation.