The term Process Mining describes a set of methods and an analytical discipline of detecting, monitoring, and improving real business processes by extracting knowledge from the event logs available in modern information systems. The main goal of Process Mining is to analyze how the processes actually work, how they deviate from the ideal model, what problems arise, what optimization measures should be taken, and how to improve the process.
Five Common Use Cases for Process Mining according to the leading analysts company Gartner:
- Discovery and Analysis
- Auditing and Compliance
- Digital Transformation
- IT Processes
Discovery and Analysis
Process mining complements the traditional area of business process analysis, allowing business process analysts to document, analyze, optimize and redesign complex processes at the conceptual and logical level.
So, it is a promising direction in applying Process mining methods to products, services, resources, channels, and customers. It helps organizations identify how they can actively influence customer experience and sustain them through internal operational improvements. Combining all these business model components, a new area of «business-mining» or «organizational mining» appears.
Auditing and Compliance
Process mining helps validate or audit whether actual operations meet internally defined standards such as ERP and CRM. More accurate assessments of process deviations and compliance issues help manage risks and describe the findings in the audit report. It also helps to ensure the reliability of external financial reporting and compliance with external laws and regulations.
Another option is to compare and analyze the same processes in different business units, subsidiaries, or countries.
Process mining helps business analysts identify and evaluate process automation capabilities. It effectively creates a business case for automation that some customers often find challenging to make on their own.
Process mining will help in two ways: first, it opens up opportunities to automate tasks in a more holistic process context, and second, by connecting automated tasks to the process context, it is possible to predict changes in business processes and reflect them in these tasks.
Shifting the scope of process mining to the operational and organizational level provides visibility, analysis, and understanding of business operations models that represent the way of doing business, providing real-time information to end-users on how they work and what can be improved. In some cases, it has been reported that this even helps end-users think about digital opportunities.
Identifying, analyzing, and optimizing IT operations and processes is a new use case that can benefit IT organizations and common practices such as DevOps.
Although this use case has emerged recently, this option is expected to be widely used, especially by vendors and system integrators with strong IT experience.
So, with the growth of globalization, businesses worldwide are faced with the challenge of fully understanding what’s going on in their business processes. Therefore, when technologies take the lead, it is necessary to study and apply leading methods to work as a «well-oiled machine».