Designing Process Diagrams – A Framework for Making Design Choices When Visualizing Process Mining Outputs

Sirgmets, Marit; Milani, Fredrik; Nolte, Alexander; Pungas, Taivo

doi:10.1007/978-3-030-02610-3_26

Cited by 6 publications

(9 citation statements)

References 28 publications

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“…Finally, there are frameworks for visualising process mining outputs. For instance, Sirgmets et al (2018) presents a framework for guiding developers of process mining techniques in designing process diagrams. In Wynn et al (2017), the authors propose a visualisation framework for process performance comparisons.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Finally, there are frameworks for visualising process mining outputs. For instance, Sirgmets et al. (2018) presents a framework for guiding developers of process mining techniques in designing process diagrams.…”

Section: Background and Related Workmentioning

confidence: 99%

“…However, an important aspect impacting how an organisation accepts such results (Grisold et al. , 2021) relates to how the results are visualised (Sirgmets et al. , 2018; Basole et al.…”

Section: Background and Related Workmentioning

confidence: 99%

“…These studies report on results obtained and illustrate the value of process mining in industry (Corallo et al, 2020). However, an important aspect impacting how an organisation accepts such results (Grisold et al, 2021) relates to how the results are visualised (Sirgmets et al, 2018;Basole et al, 2015).…”

Section: Background and Related Workmentioning

confidence: 99%

“…, 2022; Khan et al. , 2021) and frameworks for developers of process mining software (Sirgmets et al. , 2018; Wynn et al.…”

Section: Introductionmentioning

confidence: 99%

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A visual approach to support process analysts in working with process improvement opportunities

Kubrak

Milani

Nolte

2023

BPMJ

Self Cite

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PurposeWhen improving business processes, process analysts can use data-driven methods, such as process mining, to identify improvement opportunities. However, despite being supported by data, process analysts decide which changes to implement. Analysts often use process visualisations to assess and determine which changes to pursue. This paper helps explore how process mining visualisations can aid process analysts in their work to identify, prioritise and communicate business process improvement opportunities.Design/methodology/approachThe study follows the design science methodology to create and evaluate an artefact for visualising identified improvement opportunities (IRVIN).FindingsA set of principles to facilitate the visualisation of process mining outputs for analysts to work with improvement opportunities was suggested. Particularly, insights into identifying, prioritising and communicating process improvement opportunities from visual representation are outlined.Originality/valuePrior work focuses on visualisation from the perspectives – among others – of process exploration, process comparison and performance analysis. This study, however, considers process mining visualisation that aids in analysing process improvement opportunities.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

“…However, an important aspect impacting how an organisation accepts such results (Grisold et al. , 2021) relates to how the results are visualised (Sirgmets et al. , 2018; Basole et al.…”

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

“…, 2022; Khan et al. , 2021) and frameworks for developers of process mining software (Sirgmets et al. , 2018; Wynn et al.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A visual approach to support process analysts in working with process improvement opportunities

Kubrak

Milani

Nolte

2023

BPMJ

Self Cite

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Process Mining for Process Improvement - An Evaluation of Analysis Practices

Kubrak

Milani

Nolte

2022

Lecture Notes in Business Information Processing

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Organizations have a vital interest in continuously improving their business processes. Process analysts can use process mining tools that provide data-driven discovery and analysis of business processes to achieve this. Current research has mainly focused on creating and evaluating new tools or reporting process mining case studies from different domains. Although usage of process mining has increased in industry, insights into how analysts work with such methods to identify improvement opportunities have consequently been limited. To reduce this gap, we conducted an exploratory interview study of seven process analysts from different domains. Our findings indicate that process analysts assess improvement opportunities by their impact, the feasibility of required implementation, and stakeholders’ input. Furthermore, our results indicate that process mining tools, when used to identify improvement opportunities, do not provide sufficient support for analysis, requiring process analysts to use additional tools. Lastly, analysts use storytelling to frame and communicate their findings to various stakeholders.

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