Process mining techniques address process pain points caused by a lack of visibility, insight, staff, and appropriate tools. These are some challenges that can be solved by process mining:
Many systems that don’t cooperate well
Businesses rely on dozens of systems and complex infrastructures that are extremely difficult to monitor simultaneously and get a clear end-to-end view across the entire environment. Process mining can break down the silos that separate different types of data and merge them all into one dataset.
Ever-growing data sets
Increasing volumes of data from internal networks, connected devices, websites, and dozens of other systems create new and rapidly growing challenges. A good process mining solution can automate data cleansing and preparation while analyzing ever-larger datasets.
High human effort for processing data
Organizations without a decent database are spending a lot of time trying to fit data into a spreadsheet and build formulas to make sense of it, all to realize that it was not providing real business value. In addition to surfacing data, process mining can help you use the data to drive fact-based decisions with minimal human effort.
Unclear and unreliable reporting at its finest
Organizing important data that only leads to more questions when it’s presented. Rings a bell? Process mining provides you flexible, reliable reporting and allows you to express your process analysis in easy-to-share and understandable dashboard visualizations that can be customized to suit any need.