Process Mining provides a transparent and unbiased view of end-to-end processes by tracing and analyzing the activities that actually took place.
This requirements table for Process Mining products clearly outlines the key features and functionalities considered when evaluating vendors. We include Integration, Compliance, Process Analytics, Data Processing, Testing and Debugging, User Experience and Security.
Other important considerations may include the level of technical support offered, the availability of detailed documentation and developer resources, and pricing and licensing options. Customize these requirements in Taloflow and get expert ratings for 15 different vendors against all of the features in the table below, including None.
| Requirement | Description | Features |
|---|---|---|
| Must be compliant with data security and privacy regulations. | The platform should adhere to industry standards for data security and privacy, safeguarding sensitive information. |
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| Must have a strong user experience for implementation and ongoing use. | The platform should ensure a simple and accessible experience for both the implementation and usage of the process mining tool. |
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| Must have business process mapping capabilities. | The platform should automatically discover process models, cases, and employee interactions, including basic frequencies and statistics. |
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| Must have comparative process mining capabilities. | The platform should perform conformance checking, compliance verification, and gap analysis through graphical overlays and data analysis. |
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| Must have customer process journey mapping capabilities. | The platform should automate the discovery and examination of customer interactions, align them with internal processes, and analyze customer journey maps. |
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| Must have dashboarding and analytics capabilities. | The platform should provide dashboards for visual representation and analysis, offering insights and metrics for informed decision-making. |
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| Must have data handling and transformation capabilties. | The platform should support various methods for data handling, including data preparation, quality assurance, integration, and support for big data. |
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| Must have predictive process analysis capabilities. | The platform should use contextual data in predictive and prescriptive analysis, scenario testing, and simulation for advanced process analytics. |
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| Must have process improvement guidance capabilities. | The platform should provide support and guidance for process improvement and automation initiatives based on analysis and insights from recorded logs and events. |
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| Must have real-time process monitoring capabilities. | The platform should enable continuous and immediate tracking of processes in real-time, allowing for prompt decision-making and intervention based on current data. |
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| Must integrate with enterprise information systems | The platform should integrate with leading enterprise information systems. |
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| Must integrate with our Business Intelligence (BI) tools. | Integrates with leading Business Intelligence (BI) tools. |
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| Must integrate with our CRM software. | Integrates with leading CRM software. |
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| Must integrate with our ERP systems. | Integrates with leading ERP systems. |
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