Task Mining
2022.4
false
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Task Mining
Last updated Mar 11, 2024

Introduction

UiPath Task Mining is an automation opportunity discovery service. It collects employee desktop data comprising of the screenshot and log data upon each user action (mouse click, keystroke), then runs a machine learning model to analyze the data and suggest a list of processes with high automation potential.

Use cases

Task Mining allows customers to record the actions of selected users, analyze them together, and expose the results in various dashboards to:

  • Identify automation opportunities, the processes that have repeated frequently in the user action data
  • Understand the frequent path and variances for the candidate processes to possibly standardize and agree on the process before automating
  • Document the details of a candidate process to accelerate the development of automation

Benefits

  • RPA CoE leaders: efficiently discover automation opportunities and effectively engage the business teams by demonstrating an objective view of the opportunities - All at a fraction of the time and cost versus a traditional consulting-led approach
  • Business Analysts: avoid the time-consuming projects to interview or observe employees' work activities and then identify the repetitive processes with high automation potential. Easily view and analyze the detailed process metrics with the automation candidates. Reduce the time spent on documenting processes.
  • Employees: low touch process for the employees to set up and record. No impact on the day to day work. Preserves privacy by avoiding a human observer.
  • RPA developers: reduce the time spent on understanding the process before building automation.

    Note: Check out the Task Mining presentation page.
  • Use cases
  • Benefits

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