Process Mining provides a transparent and unbiased view of end-to-end processes by tracing and analyzing the activities that actually took place.
Process Mining is an extension of the principles of Data Mining, applied to Process Analysis. While Data Mining leverages data stored in an enterprise to provide decision-making insights to executives, Process Mining extends this to the domain of Process Analysis by leveraging data in modern systems to trace, track, and identify process patterns. As an output, Process Mining provides an enterprise with a transparent view of a process, outlining delays, bottlenecks, and governance issues. This lays a solid foundation for any Business Process Management (BPM) initiative in the enterprise, whether it be deploying process automations or improvements. The system data gathered should have the following three attributes: Case ID, which is the identifier of the task in the process (e.g., AccountID, LoanID, Name, or any other identifiable information from the task in the process); Activity, which is the purpose of that task in the process or, simply put, provides information on what happened in the process at this point in time (e.g., Inspect Damage, Obtaining Approval, or Register Claim); and Timestamp, which is when this task occurred in the process (date/time of occurrence). All of these attributes play a role in analyzing the output from Process Mining.
Owing to the complex nature of procurement operations, it is difficult to bring visibility and compliance into procurement processes. Process mining, with its ability to connect various information systems like SAP, Oracle, Salesforce, etc., provides a unified view of procurement operations. This is achieved through real-time alerts, notifications, reminders, and actionable next steps.
For process mining, providing an intuitive process map is a foundational use case. End users should be able to visualize the process and conduct follow-up analysis such as filtering activities by time and cases, zooming in and out to focus on a particular point of interest in the process, and performing bottleneck analysis.
The majority of enterprises rely on manual methods to understand if the business process is working as expected or not. This leads to unreliable outcomes as no two groups of employees perceive the process in a similar way, and hence bias and interference creep in. This can also create blind spots for governance and compliance issues that might have proper due but remain hidden. Automated process conformance via process mining is helpful to remove the external bias and provide transparent analysis of business processes.
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.
Auditing, whether financial or information system auditing, is an important issue for various stakeholders in an enterprise. Process mining provides the capability to plug in governance and compliance gaps in the enterprise by providing real-time analysis to the decision-makers.
Here is a comprehensive Process Mining requirements checklist you can use to further define your use case.
The platform should adhere to industry standards for data security and privacy, safeguarding sensitive information.
The platform should ensure a simple and accessible experience for both the implementation and usage of the process mining tool.
The platform should automatically discover process models, cases, and employee interactions, including basic frequencies and statistics.
The platform should perform conformance checking, compliance verification, and gap analysis through graphical overlays and data analysis.
The platform should automate the discovery and examination of customer interactions, align them with internal processes, and analyze customer journey maps.
The platform should provide dashboards for visual representation and analysis, offering insights and metrics for informed decision-making.
The platform should support various methods for data handling, including data preparation, quality assurance, integration, and support for big data.
The platform should use contextual data in predictive and prescriptive analysis, scenario testing, and simulation for advanced process analytics.
The platform should provide support and guidance for process improvement and automation initiatives based on analysis and insights from recorded logs and events.
The platform should enable continuous and immediate tracking of processes in real-time, allowing for prompt decision-making and intervention based on current data.
The platform should integrate with leading enterprise information systems.
Integrates with leading Business Intelligence (BI) tools.
Integrates with leading CRM software.
Integrates with leading ERP systems.
Here are some of the more popular Process Mining products.
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.
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.
Microsoft Power Automate Process Mining offers easy-to-use process mining capabilities and is suited for the process discovery use case.
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.
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.
Compare products in Process Mining head-to-head across various criteria such as price, features, user interface, support, ect.
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