Companion for Intelligent Enterprise Processes
Utilizing cutting-edge process mining technology, we tailor the visualization, analysis, improvement, simulation, and prediction of every aspect of processes to meet our clients' needs. We continuously monitor the improved processes, driving businesses towards operational excellence.
Utilizing cutting-edge process mining technology, we tailor the visualization, analysis, improvement, simulation, and prediction of every aspect of processes to meet our clients' needs. We continuously monitor the improved processes, driving businesses towards operational excellence.
Introduction to Process Mining
Process mining combines techniques from data science, process management, and artificial intelligence to achieve the visualization and monitoring of business processes. By understanding, improving, and optimizing business processes, it enhances work efficiency, effectiveness, and productivity, maximizing business outcomes. It can identify business bottlenecks and use simulation techniques to validate optimizations in resource allocation and task automation.
User-friendly
Retrieve event log data via the API interface to circumvent intricate Data-preparation tasks and effectively expedite the creation of visualization processes.
Cost-effective Enhancement
Optimize processes by reducing redundancies, identifying automationopportunities, minimizing manual intervention and errors and enhancing productivity.
Efficient Monitoring
Enhance transparency by real-time monitoring, leveraging AI and Machine Learning for visual process compliance validation, fostering digital transformation.
Robust Operations
Achieve robust operation of the corporation through KPI-based process behavior prediction by implementing DTO and integrating comprehensive end-to-end process.
Multiple Data Sources
Seamlessly integrates with diverse systems like APIs, SAP, and file repositories, enabling direct retrieval of associated event logs.
Process Visualization
Visualize event logs through flow charts and display relevant statistical data, such as KPIs, to enhance the intuitiveness and facilitate analysis.
Conformance Checking
Evaluates adherence to a reference model, identify and quantify the extent of deviations.
Bottleneck Analysis
Utilize Machine Learning techniques to detect, categorize, and analyze bottlenecks influencing the process.
Root Cause Analysis
Incorporate multi-dimensional data for the analysis of the fundamental causes behind process deviations and propose enhancements.
Applications of Process Copilot
Product Highlights