Best Process Mining Software for Linux

Enterprise organizations around the world leverage the Nintex Process Platform every day to quickly and easily manage, automate and optimize their business processes. The Nintex Process Platform includes capabilities for process mapping, workflow automation, document generation, forms, mobile apps, process intelligence and more, all with an easy to use drag and drop designer. Accelerate your organization’s digital transformation journey with the next generation of Nintex Workflow Cloud. Put The Power of Process™ into the hands of your ops, IT, process professionals, business analysts, and power users. Start digitizing forms, workflows, and more today. The Nintex Process Platform is the most complete platform for process management and automation. Nintex makes it fast and easy to manage, automate, and optimize your business processes.

Processes are an integral part of today's world, driving services and internal functionalities in businesses, governmental bodies, and organizations around the globe. While there are plenty of systems available for supporting the execution of such processes, the current practices for monitoring and analyzing this execution in the organizational reality still leaves a lot to be desired. Process Mining is able to fill that gap, providing revolutionary means for the analysis and monitoring of real-life processes. ProM is an extensible framework that supports a wide variety of process mining techniques in the form of plug-ins. It is platform independent as it is implemented in Java, and can be downloaded free of charge. We welcome and support practical applications of ProM, and we invite researchers and developers to contribute in the form of new plug-ins. ProM 6 is distributed in parts, which offers maximal flexibility.

Today's Information Systems (ISs) record huge amounts of data about the business processes they support. These data can be used for process mining. This way we can analyze the operational processes within an organization based on facts rather than fiction. Examples of these processes are the handling of a loan application within a bank or the treatment of a patient within a hospital. Currently, process mining is gaining more and more attention both in industry and practice. As such, the number of process mining tools is steadily increasing. However, none of these tools allow for composing and executing analysis workflows consisting of multiple process mining algorithms. As a result, the analyst needs to perform repetitive process mining tasks manually and scientic process experiments are extremely labor intensive. To this end, we have connected RapidMiner, which allows for the definition and execution of analysis workflows, with the process mining framework ProM 6.