Published: 08 July 2024
Summary
Recent trends in automation highlight the essential need for visibility and business operations insight in automation, operational excellence and organizational resilience. This research helps technology innovation leaders make faster, smarter decisions regarding process mining platforms.
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Overview
Key Findings
Process mining platforms can be difficult to justify when considering their many advanced capabilities. This advanced functionality is not required in a staged approach, where you start with basic use cases for well-defined pockets of opportunity. Each offering assessed here scored very high for the core capabilities, such as process discovery and analysis, process conformance, and gap analysis.
Moving from these initial basic use cases for well-defined pockets to larger-scale, connected initiatives and scaling beyond traditional use cases to advanced use cases — such as automation, case management or supply chains — will require advanced capabilities. Assessment of the
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- ABBYY
- Appian
- Apromore
- Celonis
- Cyclone Robotics
- IBM
- MEHRWERK
- Microsoft
- mindzie
- Pegasystems
- Proxverse
- QPR Software
- SAP Signavio
- Skan
- Software AG
- StereoLOGIC
- UiPath
- UpFlux
- Process Maps and Analysis
- Comparative Process Mining
- Process Model Enhancement
- Data Access and Preparation
- Business Activity Monitoring
- Advanced Process Analysis
- Task Mining
- Process Orchestration
- Execution
- Generative AI
- Process Discovery
- Process Comparison, Analysis and Validation
- Automation Opportunities
- Digital Transformation
Critical Capabilities Methodology