bupaR vs Process.Science

bupaR is a free, open-source suite of R packages for working with business process data. It supports importing and preparing event data, calculating descriptive statistics, visualising processes, and checking conformance. Analysts can examine control flow, performance, and organisational aspects, while including custom process attributes in their workflow. It handles event logs, where each row represents an event, and activity logs, where each row represents an activity instance. Process maps help summarise processes and can be used in Shiny apps or exported to PDF, PNG, PS, or EPS. The bupaverse core contains bupaR, edeaR, eventdataR, processcheckR, and processmapR. The xesreadR package reads XES files from a local path or URL and writes event logs to XES. Installation instructions cover CRAN and GitHub development versions. The package requires R 3.5.0 or later and is licensed under MIT plus a license file. For prediction with processpredictR, Python, TensorFlow, and Keras are required. Validation of larger event logs can take time, though the documentation allows it to be disabled when the data meets requirements.

Process.Science provides AI-enhanced process mining that turns operational data into analysis and improvement opportunities, with integrations for business intelligence tools including Microsoft Power BI, Qlik Sense, and Tableau. Its Power BI solution displays ERP events in interactive process charts, tracks KPIs and PPIs, compares activity with target processes, and supports process-change simulations. Users can explore process variants from an overview down to individual cases and check BPMN conformance. Dashboards can trigger Power Automate flows when critical thresholds are crossed.

Templates cover Purchase-to-Pay, Order-to-Cash, and ITSM, and customers’ BI developers can extend them. Source connections include OData, REST, and direct SQL; named data sources include SAP, Dynamics, Snowflake, Exasol, Oracle, Microsoft SQL Server, and Amazon Redshift. Deployment options include on-premises and major cloud services. The company says its on-premises Power BI option keeps data within the customer’s company. The Power BI page offers a free visual and test drive through Microsoft AppSource, while paid AppSource and Enterprise versions have no listed prices. A 30-day proof of concept includes five concurrent-user licenses and 16 hours of expert support and workshops.