Process mining and task mining can be critical technologies for businesses today.  They can complement Robotic Process Automation (RPA) and enable organizations to take a data-driven approach to process optimization.  By capturing the current state of any process from start to finish, Process Mining can create detailed process maps and flows that help business analysts and process consultants identify areas for improvement.  Process Mining and Task Mining applications connect with various enterprise systems such as ERP, CRM, Finance, Accounting, Operations, HR, and other business applications to uncover deviations from processes.  Once these are uncovered, they can be corrected. They can also often be automated using RPA bots.  Task mining monitors user activity on their individual systems to assess the efficiency of a task within a broader process. It tracks data ranging from keystrokes to mouse clicks.  Task mining gathers user input across various applications required to complete any given task. Task mining uses advanced technologies such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and Machine Learning (ML) algorithms to interpret and analyze data for business analysts and process consultants to further study.