99% of success is good execution. And 100% of good execution lies in your processes — the day-to-day running of your enterprise. But most companies are not executing their processes at full capacity. You only need to look at your core business processes to see it. Why? Because processes are forced to run across a rigid and fragmented technology landscape.
Companies are trying to run 2020s business initiatives on 1980s business infrastructure. The result is billions of dollars’ worth of corporate inefficiencies. To make sure you’re executing at maximum capacity and eliminating those inefficiencies, you need to find the gaps in your processes and fix them, day in, day out.
Reality is not so simple
Applications and Instruments leverage Process Mining technology to extract data in real-time from source systems and measure capacity. They identify and visualize the execution gaps limiting execution capacity.
Execution Applications know the right course of action to close gaps. Based on machine learning and execution best practices, they suggest the best steps to eliminate the most impactful execution gaps and help maximize execution capacity.
Execution Applications take action in a number of ways, both by automating realtime actions across systems, as well as deploying the right people to remove gaps.
Process mining can be used to discover business processes by analyzing event logs generated by information systems and better understand the As-Is Process.
Process mining can help organizations optimize their business processes by identifying bottlenecks and inefficiencies in the process.
Process mining can help organizations ensure compliance with regulations and policies by detecting deviations from expected process behavior.
Process mining can help organizations identify the root causes of process problems by analyzing event logs.
Process mining can be used to monitor ongoing business processes in real-time, detecting and alerting to anomalies or process deviations.
Process mining can help organizations automate repetitive and manual tasks in a business process by identifying opportunities for automation.
Process mining can help organizations benchmark their processes against industry standards or best practices, identifying areas for improvement.
1.Process mining can be used to simulate process scenarios and predict the impact of process changes or improvements.
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