5 Reasons to migrate to a Process Mining tool
in Learning | PAFnow

5 Reasons to migrate to a flexible Process Mining tool

Go beyond Process Mining

Author: Katharina Laumann, Content Manager and Editor at PAF

In the past few years, companies gained their first practical experiences in using Process Mining tools. In most cases, users confirm that these tools greatly reduce the time and effort required to analyze operational processes and identify optimization potential based on facts.

However, users increasingly run into limitations and problems while using isolated Process Mining solutions. Accompanied by the increasing trend to microservices, Process Mining users find that simply delivering insights from a given set of tools is no longer enough. Process Mining tools that enhance existing infrastructures and interact seamlessly with other technologies are key to meeting new demands.

Here are five reasons why companies consider migrating to a flexible Process Mining software

1. Less infrastructure complexity

Isolated Process Mining tools act as one more platform that companies need to add on top of their existing platforms and structures. The barely existing interoperability of those Process Mining tools is a huge weak point. Companies are forced to work within the restrictions of this platform even when they already own tools that have better BI and automation. Instead Process Mining should integrate into existing IT and business platforms, so companies can get the most out of their existing investments and get fast ROI from their Process Mining investment.

2. Security

Process Mining tools that integrate into an existing infrastructure interact with other components inside that structure. Within that framework the likelihood of an attack or security issue to cascade down various applications is low. One application may be affected but everything else can remain up and running. Compared to that the functionalities in an isolated structure will be affected all at once when problems arise.

When details are changed, the entire architecture must be revised and redeployed. The same applies to updates. And if one part in the entire system does not operate properly, the entire application can quickly fail. This is particularly annoying if companies only need selected functions of the system and want to scale or extend those. The rest of the application unnecessarily occupies memory space and can cause problems at the same time.

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3. Combining Process Mining with other technologies

Process Mining works best in combination with strong BI capabilities, and key technologies such as automation tools. In that regard interaction is key. Expanding a company’s existing technology stack with Process Mining capabilities that work inside that stack allows for the best combination of all technologies. That’s why we brought our PAFnow Process Mining software into the Microsoft technology stack. It enables Process Mining inside Microsoft’s Power Platform the world’s leading business application platform with amazing BI capabilities, low-code automation tools and connectors to over 400 tools and programs to transform insights into improvement measures.

4. Flexibility

The single-unit structure of isolated Process Mining tools forces companies to fit their data to the requirements of the Process Mining tool and work with what the tool provides. Users cannot change visualizations, or charts to a more appropriate format. If the tool wants you to look at a bar chart, a bar chart is what you get. The non-existing customization options are limiting when it comes to Process Mining possibilities and user needs. Instead of forcing users to try and work around those limitations with sub-par results, companies are looking for alternatives that fit and adapt to their needs.

5. Collaboration

Process improvement starts with Process Mining, but it quickly becomes frustrating when the newly found insights can’t reach the right people. Collaboration is key in solving process problems. An integrated Process Mining solution becomes part of the business management stack in a company. This makes it easier to share insights, collaborate on solving problems and monitoring the state of improvement measures. So that users can go from Process Mining to process improvement with ease.

Do you want to find out more about migrating Process Mining tools? Join our webinar.

Are you interested in learning more about how Process Mining in Power BI works? Try our free demo to see the PAFnow Process Mining software in action.