Better together - Why BPM and Process Mining are the winning team for the digital company
![]() | Topic Why BPM and Process Mining are the winning team for the digital company | ![]() | Speaker Robert Hutter, CEO FireStart Maxwell Smith, Product Celonis |
![]() | Date and time Wednesday 20 May 17:00 – 18:00 (CEST) | ![]() | Language English |
Individually, both Business Process Management (BPM) and Process Mining are powerful toolsets for any company. Process Mining enables you to dive deep into your data and discover unearthed processes and potential for optimization. BPM provides you with a framework and vision for end-to-end process management – keep track of the people and IT systems involved in each and every process step, even monitor risks within processes themselves. Once you’ve unraveled the multiple paths and variations of your processes, you’re ready for the next step: Intelligent process automation. BPM does that too.
Put the two together, BPM and Process Mining, and you have an extremely powerful process infrastructure. End-to-end business processes that run automatically and are simultaneously screened for optimization potential in real-time. What’s the result? You have more time to focus on the truly important things that really drive your company forward: Reduce the time and effort needed to implement your workflows, harmonize the end-user experience, and increase overall operational efficiency.
This is the future of a truly digital and transformative company.
Are you as excited as we are about the endless possibilities of combining BPM and Process Mining? Then come join our webinar on May 20, 5pm – 6pm (CEST).
We’ll discuss and demo the primary intersections and unique attributes of Process Mining and BPM:
- Understand the core concepts of Process Mining: Discovery, Conformance, and Enhancement
- Map, manage, and publish processes throughout your organization
- Automate human-centric workflows with a low-code approach
- Increase insights and visibility into your end-to-end processes
- Leverage process mining and workflow automation in an integrated approach
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