Just as data mining has led to a deeper understanding of available information in many areas, applying data science to data collected through process mining leads to a better understanding of how a team’s workflow is functioning.
Our process data science solution uses a high-integrity data model built from all the tools in a project’s toolchain to analyze and visualize the team’s actual processes. Even if a team doesn’t use a tool for a particular transaction, this information provides insight into the workflow.
For example, process mining tools can extract the workflow actually being performed on a project, potentially in contrast to the process that might be written down. Process mining also provide the analysis, based on process performance data, to identify bottlenecks, rework sequences, anti-patterns, and even potential security concerns in the actual process.
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