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Related Concept Videos

Run Charts01:12

Run Charts

46
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
46
Interpreting Run Charts01:25

Interpreting Run Charts

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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Sample Preparation for Analysis: Overview01:21

Sample Preparation for Analysis: Overview

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Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
190
Data Validation01:15

Data Validation

142
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
142
Qualitative Analysis01:10

Qualitative Analysis

218
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
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What makes life for process mining analysts difficult? A reflection of challenges.

Lisa Zimmermann1, Francesca Zerbato1, Barbara Weber1

  • 1Institute of Computer Science, University of St. Gallen, 9000 St. Gallen, Switzerland.

Software and Systems Modeling
|December 17, 2024
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Summary

Process mining analysts face 23 practical challenges, despite existing mitigation strategies. Further research is needed to enhance support for analysts across all project phases and organizational levels.

Keywords:
ChallengesMitigation strategiesProcess analysisProcess miningWork practices

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Area of Science:

  • Information Systems
  • Business Process Management
  • Data Analytics

Background:

  • Process mining tools offer enterprise insights into process executions.
  • Effective application relies on skilled analysts for insights and improvements.
  • Understanding analyst difficulties is crucial for developing tailored support.

Purpose of the Study:

  • To identify and understand the practical challenges faced by process mining analysts.
  • To validate these challenges and explore existing mitigation strategies.
  • To inform the development of enhanced support for process mining practitioners.

Main Methods:

  • Qualitative interviews with 41 process mining analysts.
  • Quantitative validation of identified challenges through a questionnaire survey.
  • Analysis of perceived relevancy and applied mitigation strategies.

Main Results:

  • Identification and validation of 23 distinct challenges encountered by process mining analysts.
  • Insights into the relevancy of these challenges in practice.
  • Documentation of current mitigation strategies used by analysts.

Conclusions:

  • Existing mitigation strategies are insufficient to fully address analyst challenges.
  • Further research is required to provide comprehensive support for analysts.
  • Support is needed across individual, technical, group, and organizational levels throughout process mining projects.