Process Mining is the art of decoding an enterprise process model by analyzing application log files and deriving a process model from them. Companies that can not answer the question about the effectiveness of their processes with a quantifiable answer should intensively study the topic. This is because process mining quantifies the effectiveness of system processes and sifts through large data sets to determine whether bottlenecks may exist. Using event logs, process mining tools analyzes business processes for patterns that are not apparent by other means.
The most important Process Mining Tools
Process Mining tools often include process discovery, process analysis, process design, and process recovery. Process analysis takes a look at log files to identify potential problems, while process design provides feedback and suggestions for improving those processes. Process reenactment goes one step further to improve processes dynamically.
We have compiled an overview of the most important Process Mining tools and providers below - without claiming to be exhaustive.
1. Process Mining Tool: ABBYY Timeline
TimelinePI (now ABBYY Timeline) was founded in 2015 by Scott Opitz and Alex Elkin, based on their many years of work with business intelligence and BPM tools. The tool focuses on key areas of process discovery, diverse analytics, real-time robotic monitoring, and neural network predictive and alerting capabilities. ABBYY Timeline not only looks at current processes digitally but also predicts the future performance of those processes, giving organizations the ability to improve their BPM. This intelligent solution includes features such as a transparent pricing process, analytics, data integration, and the ability to scale quickly. Compared to the usual process graph visualization of other tools, ABBYY Timeline distinguishes itself with its timeline visualization approach. Another notable component is its cloud-integrated ETL feature for advanced and Big Data uploads with various transformation operations. TimelinePI was acquired by ABBYY in 2019.
2. Process Mining Tool: Apromore
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With over a decade of research experience in process mining, Apromore's developers have incorporated extensive academic expertise into their solution. The open-source software is available as a free CommunityEdition and a subscription-based Enterprise Edition that includes commercial add-ons, connectors, and services. Apromore provides robust process discovery capabilities, process comparisons, conformance checks, and an authoring environment for editing BPMN process models - all easily accessed and illustrated digitally. Predictive process monitoring is also available and can be fine-tuned with sophisticated settings by experienced users. Apromore has applications in the public sector, banking, insurance, telecommunications, and more. The vendor raised nearly $5 million in a Series A funding round in mid-2020 and plans to further expand and enhance the functionality of its platform.
3. Process Mining Tool: ARIS Process Mining
ARIS is a comprehensive tool that enables fully managed large-scale business process transformation. The product includes traditional process discovery capabilities, conformance checking, highly customizable dashboards, and automatic root cause detection, while the light version ARIS Process Mining Elements is available for free. The focus on cross-organizational mining encourages collaboration between all necessary stakeholders with the help of change requests and shareable bookmarks - perfect, in other words, for good BPM. ARIS has strong SAP Solution Manager integration and supports numerous SaaS applications for data extraction via its own webMethods Integration Platform. ARIS Cloud is a process-driven management solution that includes process mining services. ARIS Cloud features include process design, modeling conventions, method filters, content languages, process versioning, release cycle management, content merge, social collaboration, document management, and customer journey mapping. There are tiered package services: trial, advanced cloud, and cloud enterprise. Aris is a Software AG solution. This has many years of experience with such implementations and serves customers in over 70 countries digitally and around the globe with an extensive partner network.
4. Process Mining Tool: BusinessOptix
BusinessOptix provides a fully cloud-based platform with end-to-end process transformation tools for use cases such as customer experience (CX), operational efficienc, and business process visibility. The BusinessOptix Process Transformation Suite includes tools for scenario modeling, documentation, transformation planning, BPM, and more. Functionality is integrated into the suite to help users discover and improve processes. In addition to conformance testing, the tool offers sophisticated scenario modeling and simulation capabilities. Cross-organizational mining of processes s realized using various collaboration features for sharing content, documentation, and work instructions. The vendor serves customers from various industries, including finance and insurance, engineering and construction, retail, and also the government.
5. Process Mining Tool: Celonis
Founded in 2011 by three university students, Celonis' platform helps companies achieve process excellence by eliminating operational friction points with their Intelligent Business Cloud platform. In addition to easy-to-use process discovery, analysis and compliance testing capabilities, the platform offers a dedicated Transformation Center for KPI monitoring. A key strength is Celonis' comprehensive approach to process improvement, which includes a Python-based machine learning workbench for predictive insights, an AI-powered action engine for intelligent process recommendations, and process automation to automate workflows. Celonis provides a highly scalable and secure platform, offers multiple deployment options, and supports many databases and systems for data extraction. Celonis recently launched Operational Applications. These are role-based applications that automate tasks, prioritize workflows and provide guidance for achieving business goals by leveraging business context, artificial intelligence, and the central process mining engine.
6. Process Mining Tool: Disco by Fluxicon
Fluxicon was founded in 2009 by Dr. Anne Rozinat and Dr. Christian W. Günther after their Ph.D. in the Process Mining group of Prof. Wil van der Aalst at the Eindhoven University of Technology. After working on the academic process mining tool ProM, the software Disco was developed with the goal of making process mining accessible to business users. The Disco framework is based on proven scientific research and is used in various industries with use cases such as customer journey analysis, audit, process improvement, and optimization. The tool enables easy and flexible discovery of processes through its visualization and filtering capabilities.
7. Process Mining Tool: EverFlow
EverFlow is a startup headquartered in Campinas (SP, Brazil) with a co-HQ in San Francisco. One of the solution's strengths is its simple and intuitive design, which allows non-experts to quickly gain insight into processes. In addition to preconfigured dashboards for poor performance, bottlenecks, and rework, EverFlow's case duration prediction and alarm monitoring capabilities lend themselves to operational support. Social networks can be uncovered and root cause analysis is also available. The tool uses cutting-edge technologies in Big Data and Machine Learning / AI to be able to analyze large volumes of events.
8. Process Mining Tool: LANA Process Mining
Lana Labs, based in Berlin, was started by the three founders out of a passion for process optimization and the urge to bring new innovations to the market. Years ago, the first innovations included automated compliance checks and machine learning-based root cause analysis. LANA has developed an algorithm with experts that helps companies understand the parallelism of digital tasks and enables the prediction of future process behavior. LANA is used by customers in various sectors including healthcare facilities, industry, and utilities. In addition to providing training videos and webinars, Lana Labs maintains a practical public process mining glossary - a perfect foundation for the internal skill building of responsible employees.
9. Process Mining Tool: MEHRWERK Process Mining (MPM)
MEHRWERK GmbH was founded in 2008 with the vision of implementing agile and user-friendly data analytics. The company has developed MEHRWERK ProcessMining (MPM) on the Qlik Sense BI platform to provide enterprise customers with comprehensive process mining capabilities. MPM combines self-service process mining, visual analytics, and associative analytics so that even non-experts can achieve rapid results. The platform enables MPM to integrate functionality that extends the sole process mining capability with advanced analytics, AI tools, process benchmarking, Big Data approaches, and real-time scenarios. Data governance capabilities enable users to enrich and create ad hoc analytics and dashboards without programming skills.
10. Process Mining Tool: Minit
With the first version released in 2015, Minit has developed a powerful process mining tool with advanced process improvement features. Features such as hierarchical visualization, simulation of "what-if" scenarios, and interactive Qlik-based dashboards deserve special attention. The software offers a user-friendly UI. Minit use cases include projects in banking, logistics, e-commerce, and telecommunications with common processes such as purchase to pay (P2P), order to cash (O2C), and IT service management (ITSM).
11. Process Mining Tool: myInvenio
myInvenio is a process mining tool that helps to understand and gain deep insight into Real-Time Processes. myInvenio was founded in Italy in 2013 and has continuously expanded its process mining solution since then. The vendor serves customers from various industries and operates mainly in Europe, the US and Japan. In addition to traditional process discovery, analysis, and conformance testing, myInvenio's process mining solution offers sophisticated functionalities such as simulation, decision rule mining, task mining, and the ability to analyze multi-stage business processes. All these capabilities aim to create a digital twin of an organization (DTO) that derives an accurate and dynamic virtual process model to provide organizations with a cost-effective and fail-safe approach to continuous improvement initiatives.
12. Process Mining Tool: PAFnow
Germany-based Process Analytics Factory (PAF) offers PAFnow, the only process mining solution built on Power BI, Microsoft's business analytics and intelligence software. The powerful symbiosis of process mining and business intelligence capabilities enables users to leverage the full power of both disciplines in one solution. In addition to traditional process discovery and conformance checking capabilities, the tool offers several preconfigured reports, such as loop/rework analysis, automation reporting, and benchmarking. Custom Power BI visualizations include the cycle time calculator, document flow, case viewer, and root cause analyzer. PAFnow offers a comprehensive set of deployment options and supports more than 100 Power BI data sources as well as predefined content packs for SAP R/3 Purchase-to-Pay and Order-to-Cash Processes.
13. Process Mining Tool: ProDiscovery
South Korea-based Puzzle Data is a relatively new entrant in the process mining software market. Its customer base includes companies in manufacturing, transportation, retail, mobile gaming, and public institutions such as hospitals and the Supreme Prosecutor's Office of Korea. Puzzle Data's ProDiscovery solution consists of approximately 30 widgets ("puzzles") that can be individually configured and added to any dashboard. While a conformance checking functionality is still under development, ProDiscovery already offers sophisticated widgets for process discovery, statistical analysis, social networks, and organizational charts. Dashboards can be shared with users in the same organization. The architecture is designed for Big Data processing and is built on the open source Apache Hadoop, Spark, and Elasticsearch engine environments.
14. Process Mining Tool: QPR ProcessAnalyzer
QPR Software Plc was founded in 1991 and deals with process mining, BPA, enterprise architecture and performance management. Its QPR ProcessAnalyzer solution provides advanced analytics for identifying case clusters and root causes. Other highlights include process prediction, customizable dashboards, and advanced BPMN modeling. Customers can access multiple deployment options and extensive ETL capabilities. QPR offers a highly detailed knowledge base that provides valuable guidance for customizing the configuration using script commands.
15. Process Mining Tool: Signavio Process Intelligence
Signavio was founded in 2009 and has since become one of the leading providers of business transformation solutions with various offices around the world. The tool enables seamless integration between mining, modeling and automation and helps companies continuously improve their business processes. With its cloud-based Business Transformation Suite, the vendor equips its customers with powerful modeling and management tools for their business transformation journey. As part of the suite, Signavio Process Intelligence is an intuitive process mining solution with process discovery and conformance checking capabilities and a focus on collaboration and integration. BPMN and value chain diagrams can be enriched with process mining results via the "Live Insights" system to improve end-to-end results. The suite is designed to foster collaboration within an organization so that crowdsourced feedback from users and decision-makers can be shared in one place. The company was purchased by SAP AG in 2021.
16. Process Mining Tool: UiPath Process Mining
UiPath Process Mining (formerly ProcessGold) started in 2005 as a spin-off from Eindhoven University of Technology (TU/e). The company has grown into one of the leading providers and was acquired by UiPath in 2019, combining expertise in BPM and RPA into one solution. UiPath offers a highly customizable platform with its proprietary, patent-pending TRACY algorithm for rapid process graph visualization. TRACY algorithm is designed to simplify process graphs and the associated visual experience. This includes subtle but powerful features such as maintaining continuity of the graph design when adding or removing new data or changing the selection of filtered data. TRACY says it is significantly faster than the traditional DOT layout algorithm, which is particularly suited to large data sets. UiPath Process Mining offers a wide range of configuration options. Dashboards and worksheets can be fully customized, including native Python and R integration, to drive machine learning applications and proactive process insights. In addition, an integrated ETL framework enables overall data transformation, including key enterprise features such as role-level filtering and anonymization of sensitive data.
Conclusion - Which Process Mining Tools Are The Best?
Which Process Automation tools, vendors and solutions are best cannot be answered so simply, as the organization's specific circumstances and requirements are the authoritative basis for the decision In addition to the usual best practices for technical procurement, features and integrations are the two areas where special attention is required when selecting the right process mining software.
Selected software should provide the necessary features to implement the organization's prioritized use cases and processes. The organization must first determine the specific use cases for which they will use the software. In addition, selected process mining tools should be able to handle logs of software that are commonly used in the organization. Without this, more manual intervention is required while insights are extracted from software logs.
Thanks to Daniel Viner and www.processmining-software.com for the summary of the best process mining tools!
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