Process Mining Platforms (Transitioning to Process Intelligence Platforms)
Process Mining Platforms (Transitioning to Process Intelligence Platforms)Reviews and Ratings
What are Process Mining Platforms?
Process mining platforms offer comprehensive analysis of end-to-end processes by extracting event data from information systems. This includes automated process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction and history-based recommendations. Process mining platforms extend process mining capabilities via advanced process analytics, process improvement detection and process improvement recommendations.
Celonis Process Intelligence Platform is a software that enables organizations to analyze, monitor, and optimize their business processes by leveraging data from underlying IT systems. The software applies process mining and automation capabilities to provide insights into process execution, identify inefficiencies, and reveal deviations from intended workflows. By connecting to source systems, the software visualizes end-to-end process flows, tracks key performance indicators, and uncovers bottlenecks or compliance issues. It also offers tools for automation, simulation, and scenario analysis to support data-driven process improvements. This software addresses the business problem of limited process visibility and helps organizations enhance operational efficiency and process reliability.
An AI-powered solution that helps organizations discover, model, analyze and improve business processes by creating a digital twin of operations. Uses a data-driven approach to provide clear insights into how processes function, addressing inefficiencies and gaps. Leveraging advanced process intelligence and AI-driven recommendations, it prioritizes impactful changes that align with strategic goals and drive better outcomes.
The interface simplifies process analysis and modeling, making it accessible to all users. Features like continuous monitoring, automated alerts, and KPI tracking help maintain efficiency and compliance, keeping businesses in control of their transformation efforts. Designed to eliminate complexity, IBM Process Mining drives continuous improvement, transforming operations through actionable insights that deliver measurable results.
Power Automate Process Mining is a software that enables organizations to analyze, visualize, and optimize their business processes through data-driven insights. The software uses event logs and operational data to automatically map workflows, identify inefficiencies, and uncover patterns in process execution. It provides features for process discovery, performance benchmarking, and root cause analysis to help address process bottlenecks and deviations from ideal workflows. Power Automate Process Mining is designed to facilitate continuous improvement by offering tools that measure and monitor process changes over time, supporting efforts to streamline operations and improve business performance through objective process analysis.
SAP Signavio Process Intelligence empowers organizations to deeply analyze and continuously monitor how their business processes actually run by turning enterprise system data into actionable insights. With powerful process mining capabilities—including root cause analysis—it visualizes end‑to‑end process flows, exposes inefficiencies, and uncovers bottlenecks and deviations. AI‑driven features such as intuitive dashboards, advanced analytics, and automated improvement recommendations accelerate informed decision‑making and helps users to adopt. By integrating data from multiple sources, SAP Signavio enables ongoing optimization, compliance, and operational excellence through fact‑based analysis. Equipped with robust tools to assess performance against defined targets, SAP Signavio Process Intelligence helps businesses boost efficiency, reduce complexity, and drive meaningful, data‑driven improvements across the organization.
ARIS is a software designed for business process management and analysis, supporting organizations in mapping, analyzing, optimizing and monitoring their business processes. The software provides tools for modeling business processes, capturing process data, and enabling transparency across organizational workflows. Features include process design, collaboration, governance, risk and compliance management, and performance measurement. ARIS enables businesses to identify inefficiencies, support compliance requirements, and drive continuous process improvement by providing centralized access to process documentation and analysis capabilities. The software addresses challenges related to process complexity, change management, and digital transformation within organizations.
ABBYY Timeline software enables organizations to analyze and visualize business process data through process intelligence capabilities. It allows users to import data from various systems and automatically create process maps, providing insights into how processes are executed over time. The software offers features for monitoring, discovering inefficiencies, and identifying bottlenecks to help improve operational performance. Advanced analytics and root cause analysis tools are included to support continuous process optimization. ABBYY Timeline aids in compliance, risk management, and business decision-making by offering an objective view of process execution across different departments and systems.
ServiceNow Process Mining is a software designed to enable organizations to analyze and visualize their business processes using data from their digital workflows. The software helps identify process bottlenecks, inefficiencies, and compliance issues by providing detailed process maps and performance metrics. It allows users to compare current processes with intended workflows to highlight deviations and improvement opportunities. ServiceNow Process Mining integrates with existing systems to gather event data, offering insight into root causes of process delays and facilitating data-driven decision-making. The software aims to optimize operations and support process transformation initiatives by delivering actionable information on workflow execution across the enterprise.
The iGrafx Process360 Live platform empowers organizations with advanced process mining capabilities, enabling them to gain insights into and optimize their operational workflows. Designed to help organizations discover, design, and optimize processes, the platform reveals inefficiencies, bottlenecks, and improvement opportunities. A distinguishing feature is Concurrency, which visualizes parallel activities and simplifies process variants into a single, representative model, enhancing accuracy and reducing computational costs. Central to the platform is the AI-enabled Process Repository, which fosters collaboration, breaks down silos, and manages critical interdependencies among processes. iGrafx Process360 Live provides actionable intelligence including predictive analytics that drive compliance, efficiency, and ongoing process improvements across complex operations.
Scout is a multi-modal transformer model that learns from organizations and creates a work graph, which reveals what you do not see, called as the ‘dark side of the moon’- the hidden pains your teams experience at work, and how they impact business outcomes.
Soroco has two product offerings:
Scout for Business Operations (SFBO) focuses on improving business KPIs and outcomes by optimizing the efficiency of tasks and processes via standardization and automation. Through AI recommended interventions, for a given KPI, it identifies sources of friction and eliminates them.
Scout Platform. The platform provides access to the underlying work graph data that Scout discovers via APIs and abstractions. The goal of the platform is allowing any third party to build any new app or use case on top of the work graph data.
SFBO and the platform support business outcomes and KPIs that include improving workforce productivity and employee experience.
Skan Process Intelligence Platform is a software designed to provide visibility into business process execution by capturing, analyzing, and interpreting digital interactions within enterprise systems. The software uses technology to observe real work as it happens across applications, enabling organizations to map current processes without the need for manual intervention or user input. The software helps in identifying process variations, bottlenecks, and inefficiencies by transforming collected data into process maps and insights. Businesses use this software to enhance operational transparency, support process improvement initiatives, and drive automation decisions by providing factual and detailed process analysis.
Fluxicon Disco is a software designed for process mining, enabling organizations to visualize and analyze business processes based on event logs. The software extracts process models from raw data and presents them through interactive and filtered visualizations. Users can identify inefficiencies, bottlenecks, deviations, and compliance issues within workflows. Fluxicon Disco supports various data formats for import and provides capabilities for filtering case and activity data, grouping results, and generating detailed process maps. This software assists organizations in understanding actual process flows, optimizing operational efficiency, and improving transparency in business process management.
The Apromore process mining platform is a savvy blend of intuitive design and advanced functionality resting on top of a robust open-source engine built by the top experts in the field of process mining since 2009. Our recipe for unlocking value from transactional data in business applications is to offer robust functionality in a no code platform with seamless connections to a variety of data sources. The easy to use interface empowers business users to improve processes using advanced simulation capabilities without reliance on IT or data scientists.
Predictive Process Monitoring helps boost process performance with predictions to prevent roadblocks and SLA violations, and enhance customer experience.
Digital Twin capabilities help users create successful transformation using digital twin models providing a high degree of transparency into existing processes and the ability to evolve models as business situations change.
mindzie provides AI-Driven business process mining and automation. The platform leverages large language model AI to help companies map, analyze, and automate business processes using natural language, reducing waste and increasing efficiency. It enables process improvement experts and business users to gain process insights by asking business questions. With out-of-the-box system connectors, automated actions, analysis templates, root cause identification, and Predictive AI; mindzie enables businesses to quickly go from interest to insight to action.
UpFlux is an AI-driven process mining platform designed to help organizations optimize and enhance their operations. By analyzing data from various systems, UpFlux identifies inefficiencies, detects bottlenecks, and provides actionable insights to improve process performance. With features such as pre-configured connectors, customizable analysis templates, and Kanban for visual task management, the platform enables companies to achieve continuous improvement efficiently and effectively.
Appian is a software company that automates business processes. The Appian AI Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences.
mpmX Platform is a software designed to facilitate project portfolio management through integrated modules that support strategic alignment, resource planning, financial tracking, and performance analysis. The software enables organizations to centralize and manage multiple projects by providing tools for risk assessment, document management, timeline visualization, and stakeholder collaboration. It addresses business needs such as improving decision-making, optimizing resource allocation, and maintaining transparency across project lifecycles. The platform includes features for reporting, workflow automation, and compliance support, assisting businesses in executing projects according to defined goals and regulatory requirements. mpmX Platform supports cross-functional project teams by offering a unified environment for communication, monitoring, and continuous improvement.
process.science delivers out-of-the-box process mining tools directly integrated in Microsoft Power BI and Qlik Sense. process.science is no stand-alone solution that has to be set up in addition to your systems. The implementation carries no risk of system failures, as process.science does not intervene in your software systems. process.science enables your BI organization for automated real-time process analysis by using the data that is already in your ERP.
Who uses process.science?
process.science is for organizations that want to embed Process Mining directly in Power BI and Qlik Sense - either on premise or cloud-based - granting 100% data and system security.
Cyclone's Process Intelligence utilizes process mining techniques to transform business data into insights, visually presenting real-life business scenarios. It provides insights for process monitoring, optimization, and automation, helping enterprises reduce costs, increase efficiency, and ensure compliance.
Datricks is a software designed to automate and streamline audit and risk assessment processes within organizations. The software utilizes advanced analytics and artificial intelligence to analyze large volumes of transactional and financial data, helping users identify anomalies, patterns, and areas of potential risk. Datricks assists audit and compliance teams by delivering data-driven insights that support internal controls and decision-making processes while reducing the manual effort involved in traditional audits. The software provides visualization tools and customizable dashboards to facilitate understanding of complex data sets and assists organizations in meeting regulatory requirements. Datricks aims to improve accuracy and efficiency in tracking and managing risk across business operations.
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Features of Process Mining Platforms (Transitioning to Process Intelligence Platforms)
Updated May 2025
Mandatory Features:
Process models and analysis — Involves automated discovery of process models, exceptions and process instances (mostly referred to as “cases”), client interactions (journeys), and employee interactions, together with basic frequencies and statistics from event logs.
Comparative process mining — Includes capabilities to check conformance and compliance, not only graphically through overlays, but also through data analysis and performing gap analysis.
Event log extraction — Involves connecting with and extracting event logs from source systems on which business processes run (independent from task mining). The platform should offer robust extraction, transformation and loading (ETL) capabilities to ensure that data is efficiently processed and transformed into a format suitable for analysis.
Process model enhancement — Involves intelligent support for enhancing or extending existing or a priori process models by using additional data from recorded logs and events.
Peer Lessons Learned for Process Mining Platforms (Transitioning to Process Intelligence Platforms)
Published October 2024
These lessons focuses on the responses to the questions: “If you could start over, what would your organization do differently?” and “What one piece of advice would you give other prospective customers?”