Guides the enterprise with actionable inputs to improve business processes via business process automation and improvement nudges.
Process mining has the capability to provide unbiased process improvement guidance to enterprises by looking at the process from multiple perspectives and creating simulations. Enterprises can leverage process mining to simulate business processes in various scenarios, such as automation, removal of tasks, and creation of tasks.
We’ve listed the products and solutions that commonly address the Process Remedy use case below.
Pega offers Process Mining as part of its larger platform offering. It is well-suited for end-to-end process discovery, conformance, and remedial use cases.
Appian offers Process Mining as part of its larger platform offering. It is well-suited for process discovery, conformance, and remedial use cases.
Celonis is one of the innovators and leaders in the Process Mining market with its strong focus on state-of-the-art capabilities. It is well-suited for process discovery, process conformance, procure-to-pay, and auditing use cases.
SAP Signavio offers robust process mining, seamlessly integrating data insights with customer journeys, having a strong focus on SAP-related use cases.
Apromore is a process mining tool emphasizing real-time predictive monitoring, catering to diverse sectors, including banking, financial services, insurance, logistics, and public sectors.
Fluxicon's Disco offers a stand-alone process mining tool, focusing on user-friendly analysis. It excels in complex process understanding.
UiPath Process Mining enhances insights, promoting ongoing improvement and automation strategies within the Business Automation Platform.
ARIS Process Mining (Version 10) in Software AG's ARIS Suite offers global solutions from business process modeling to automation, including a diverse range of features like task discovery and analysis.
BusinessOptix Process Mining, part of an integrated suite, connects process insights to strategic initiatives, offering tailored solutions and unique scenario testing.
ABBYY Timeline complements ABBYY Intelligent Document Processing (IDP) and offers robust capabilities to handle unstructured processes. Additionally, the platform leverages document data to enhance insights in diverse industries.
Microsoft Power Automate Process Mining offers easy-to-use process mining capabilities and is suited for the process discovery use case.
Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.
| Feature | Dimensions | Description | Priority |
|---|---|---|---|
| Predictive Process Analytics |
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Support available for utilizing predictive analytics techniques to forecast process outcomes or predict process delays. | Critical |
| Custom Analytics |
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Support available for providing role-specific analytics and reporting capabilities to cater to different user needs and responsibilities. | Important |
| Dashboarding |
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Provide visual dashboards with key metrics and performance indicators to monitor process health and efficiency. | Important |
| Process Improvement Analytics |
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Support available for analyzing historical process data to identify areas for improvement, optimize resource allocation, and drive process efficiency. | Important |
| Reporting |
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Support available for allowing users to create ad hoc reports and explore process data using custom queries or filters. | Important |
| Bottleneck Analysis |
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Provide analytics capabilities to analyze process data and gain insights into process bottlenecks, trends, and patterns. | Nice To Have |
| Comprehensive Logging |
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Maintains detailed logs of process mining activities and interactions, enabling the admin team to track and debug issues effectively. | Nice To Have |
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