Technologies

Process Mining

Intelligently map processes to provide unmatched visibility, continuous improvement, and valuable opportunities for automation.

Transform enterprise operations 

Process mining collects comprehensive data from line-of-business applications, providing insights to enhance end-to-end processes within the enterprise workflow.  

Roboyo’s approach integrates automated software with advanced manual process discovery tools and Lean Six Sigma methodologies to provide a holistic view of automation opportunities. This comprehensive strategy results in the development of superior automation scripts, leading to a faster return on investment (ROI). 

Enhanced process visibility and insight 

Process mining offers a crystal-clear view of your business operations, pinpointing bottlenecks, inefficiencies, and variations. This heightened visibility is crucial for facilitating optimization and improvement initiatives. 

Informed decision-making through data-driven insights  

Process mining transforms raw data into actionable insights, revealing patterns, trends, and correlations that might have otherwise gone unnoticed. By analyzing real process data, you can make informed decisions about which processes need improvement and are suitable for automation, ensuring that your efforts are directed toward those that will deliver the most impact.  

Driving continuous improvement and innovation 

One of the most powerful benefits of process mining is its capacity to foster a culture of continuous improvement. Data generated by automated processes can be fed back into process mining tools to continuously improve and optimize workflows over time. This serves as a catalyst for ongoing innovation within your organization. 

Discover how Roboyo’s Process Mining can transform your enterprise operations.

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Spotting opportunities for automation and creating effective end-to-end workflows relies on a deep understanding of how an enterprise works at every level. By using process mining, we analyze data from users and applications to generate insights and identify areas for optimization. 

Use Cases

Process Discovery and Understanding Process Discovery and Understanding

Process Discovery and Understanding

Process mining uses event log data to automatically map processes, analyze variations, and identify bottlenecks, providing a comprehensive understanding of how processes are executed.

Performance Optimization Performance Optimization

Performance Optimization

By analyzing process data, process mining can identify inefficiencies, bottlenecks, and opportunities for automation to improve performance, reduce costs, and optimize resource allocation.

Compliance and Risk Management Compliance and Risk Management

Compliance and Risk Management

Process mining can help organizations ensure compliance with regulations, identify risks, and investigate incidents to prevent recurrence, improving overall risk management.

Digital Transformation Digital Transformation

Digital Transformation

Process mining can support digital transformation by identifying opportunities for process redesign, automation, and integration, helping organizations modernize their operations.

Customer Experience Improvement Customer Experience Improvement

Customer Experience Improvement

Process mining can analyze customer interactions, identify pain points, and ensure compliance with SLAs, leading to improved customer satisfaction.

Operational Excellence Operational Excellence

Operational Excellence

Process mining can help organizations optimize processes, reduce waste, and drive continuous improvement, leading to operational excellence and a competitive advantage.

Process Orchestration Process Orchestration

Process Orchestration

Process Mining allow a business to seamlessly connect their IT enterprise under a central orchestration layer. This allows businesses to see and control their end-to-end processes with a single view of customer data.

Process Explorer Process Explorer

Process Explorer

Process Mining allows businesses to map all of their organizations processes across multiple work-streams and functions to show a complete objective view of their processes and the relationships between variables (e.g. People, Systems, Customers).

Software Partners

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