Highlights
Background/Overview
In this assignment, you are required to demonstrate your understanding of process mining by using different tools and techniques to analyse execution data. In answering specific questions about the data, you will apply various process mining techniques in order to interpret event log(s) and draw meaningful evidence-based insights from the data.
Part A: Disco Analysis (20%)
The data set contains 46,616 cases and 466,737 events. Unless otherwise specified, the complete, unfiltered, original log should be used to answer each of the four questions using the Disco software.
1. Analyse and interpret the following process models generated by Disco.
a) Compare and contrast the process model that shows 100% Activities and 100% Paths with the model that shows 50% Activities and 50% Paths.
b) Investigate the number of case variants detected by the tool and explain the implications of a high number of case variants when you try to generate a
representative process model.
2. Compare process models and performance of the two groups of cases defined below, describing your observations.
Using the filtered event log, answer:
a) How many cases are there in the log?
b) What is their mean duration?
c) In how many cases was the task ‘Operator Update’ not performed?
d) In how many cases was ‘Status Change’ eventually followed by the ‘Caused by CI’?
e) How many cases took longer than two weeks to complete?
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