Dotted Chart and Control-Flow Analysis for a Loan Application Process

نویسندگان

  • Thomas Molka
  • Wasif Gilani
  • Xiao-Jun Zeng
چکیده

In this paper we show our results of analysing a real-life event log taken from a Dutch financial institute. The log contains 262.000 events and describes a personal loan application process. We mine the control-flow model using the fuzzy miner from the process mining tool Disco, and analyse different variants of the process statistically and with dotted charts. This allows us to conclude performance properties of the historic execution of the process. Furthermore we examine the resources assigned to different process steps.

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تاریخ انتشار 2012