Process Mining made easy 

with the right software.

Whether you are an executive, process owner, auditor, consultant or researcher – find the most suitable Process Mining solution for your use case.

Not using Process Mining is a sign of self-neglect showing an inability or unwillingness to manage processes properly. Hence, not using Process Mining should require a justification and not the other way around.

Wil van der Aalst, “Godfather” of Process Mining

About the Initiative

Welcome to the first dedicated Process Mining software comparison website! The portal is a non-profit initiative by the Chair of Digital Industrial Service Systems at the University of Erlangen-Nürnberg. We aim to raise awareness of the Process Mining technology and to support stakeholders in their initial software selection process.

Our 2020 listing of Process Mining tools helps potential end-users get an overview of state-of-the-art solutions, their features and capabilities. Tools can also be compared with each other. For more information about the project and our methodology, please visit here.

FAU Institute of Information Systems

What is Process Mining?

Process Mining is more than just a buzz word. The powerful technology bridges the gap between traditional business process modeling and data science. It allows organizations to analyze their real “as is” processes, identify inefficiencies and implement improvement measures. The objective is to extract knowledge from event data usually from databases of ERP systems and turn data-based process insights into action. Learn more about Process Mining here.

There are 3 types of Process Mining:

Process Discovery

Data in, graph out: The heart of Process Mining is its discipline of process discovery. Reconstruct your processes from event log data and create a model out of it. Visuzalize the most common process variants.

Process Conformance

Compare your “happy path” with the discovered model, and you will easily spot undesired deviations. Perform compliance checks and detect protocol violations such as breach of the four-eyes principle and more for your audits.

Process Enhancement

Discovered process graphs wait to be enriched with new perspectives, such as time perspective to identify bottlenecks or organizational perspective to visualize how resources interact with each other. Models can be repaired based on real execution.

The added value

Process Mining enables organizations to create data-based transparency over their processes and hence presents a basis for improvement of business processes.

Unparalleled Transparency.

Achieve better decision-making through maximized end-to-end process transparency.

Explorative Analysis.

Explore your data interactively through process graphs and compare them with reference models.

Quick access to facts.

Quick and fact-based results save resources and grant you a competitive advantage.

A tiny glimpse of

Process Mining Use Cases

The universal application of Process Mining is proven by its application in numerous industry sectors, including Automotive, Insurance, Healthcare, Supply Chain Management, Customer Service and many more. The technology is vital for digital transformation strategies.

Process Compliance

  • Conduct conformance checks and identify violations, fraud and risk
  • Improve audit efficiency and quality

Continuous Process Improvement

  • Locate bottlenecks, rework activities and unnecessary costs
  • Ongoing, iterative monitoring of processes (Lean)

KPI Reporting

  • Identify relevant process KPIs and monitor them
  • Get notified when certain thresholds are reached
Process Mining World Cloud
Robotic Process Automation (RPA)

Featured Use Case »

Process Mining as enabler for Robotic Process Automation (RPA)

  • The pre-automation phase: Which activities can be automated with RPA? Identify suitable processes for successful RPA initiatives and avoid costly mistakes resulting through the automation of the wrong processes.
  • The post-automation phase: What are the non-conforming steps? Monitor implemented robots to ensure automated processes run as expected.

What do I need for Process Mining?

Process Mining is a rather lean analytics approach which delivers quick insights that help improve your processes. For a successful Process Mining initiative or project we suggest to consider the following dimensions:


To create a value-add for your organization, think about why you are doing this and what you want to achieve. What could be a business case? Also, consider challenges such as thorough change management.


Process Mining requires both business knowledge about processes and technical knowledge about IT systems. Finding both in one person is rare, it’s more about bringing together the right people. A digital mindset for change is a must.


The Alpha and Omega. Don‘t worry, you (probably) have it already. The tricky part is getting all your data together, extract it and transform it into event logs.

The right software.

Selecting the right solution for your business case is key. Given the complexity of individual requirements and a growing software market this can be challenging. Our listing will help you with it.

Learn more about the benefits, success factors, but also challenges that come with Process Mining initiatives here.

Process Mining Tool Capabilities

Depending on the scope and objective of your business case, you might find different criteria important. We recommend to consider the following capabilities:

Our focus: The feature-oriented dimension

Data Management

Data from event logs is the manna of Process Mining. How can data be extracted, what file types and connectors are supported? Can data be pseudonymized?

Process Discovery

Discovering processes is the center of interest. How can processes be visualized? Is an automated root cause analysis available? Can processes be benchmarked?

Advanced Enhancement Capabilities

Advanced enhancement features such as organizational clustering or decision rule mining enhance add a new perspective to the process. Can changes to the process and their impact be simulated?

Views, Monitoring & Reporting

Sharing insights with stakeholders within an organization is crucial. What are the capabilities of dashboards? Is it possible to customize charts?

Conformance Checking

Happy paths are a nice utopia. Can the as-is process be compared with a target process? Is it possible to retrieve a list of conformance violations?

Operational Support

Retrospectives are good, but things get more advanced. Is the tool able to send alerts or assist employees with recommendations?

Security &


Users should only see what they are supposed to see. Roled-based permissions are important to restrict data and project access. What are means of user authentication? Are audit logs available?

Other quality dimensions

In general, a thorough assessment of suitable software solutions should be carried out from various dimensions. The ISO/IEC 25010 offers a quality model with various quality characteristics to be considered in the evaluation of software products. Besides functional suitability, the framework presents 7 non-functional quality characteristics such as usability, maintainability, compatibility, performance efficiency and more.