Compare Process Mining Group ProM vs. Software AG ARIS Process Mining

Process Mining Group ProM is ranked 7th in Process Mining while Software AG ARIS Process Mining is ranked 5th in Process Mining. Process Mining Group ProM is rated 0, while Software AG ARIS Process Mining is rated 0. On the other hand, Process Mining Group ProM is most compared with Celonis and Integris, whereas Software AG ARIS Process Mining is most compared with Celonis.
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7th
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5th
out of 11 in Process Mining
Views
270
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182
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0
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0
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Overview

ProM (which is short for Process Mining framework) is an Open Source framework for process mining algorithms. ProM provides a platform to users and developers of the process mining algorithms that is easy to use and easy to extend. Our mission is to become the de facto standard process mining platform in the academic world by establishing an active, recognized community of contributors and users, and to create awareness for the power of process mining technology by promoting applications and industrial uptake. Our vision is to actively advance the state-of-the-art of process mining technology by developing methods that really work, by creating an open community, and by providing a stable and easily extensible platform, which optimally supports process mining.

Increasing digital products and services, new business models, challenger brands and competitors emerging virtually overnight—all are forever changing your market. To survive, your company—no matter its size or industry—must rethink your business models and processes. Problem is, with so many players and parts to your enterprise, where should you begin? How can you see where to optimize processes to improve the customer experience or operational efficiency? Should you rethink distribution of resources, or start first with improving processes for a specific region or product?

Find your answers with ARIS Process Mining at Software AG. With a 360-degree view of your processes, you’ll gain intelligent insights into your processes and their dependencies to find patterns, anomalies and opportunities for improvement. Compare processes in theory to processes as they are in the real world. See if processes execute as designed. This gives you a solid basis for making process improvement decisions. You can evaluate changes before making them to avoid added costs later on—and you can simulate and analyze process scenarios so you know the best way to improve them.

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