Visual Representation of Resource Analysis Insights for Process Mining

Alana Hoogmoed; Maxim Vidgof; Djordje Djurica; Christoffer Rubensson; Jan Mendling

doi:10.1007/978-3-031-61007-3_10

Visual Representation of Resource Analysis Insights for Process Mining

Alana Hoogmoed, Maxim Vidgof, Djordje Djurica, Christoffer Rubensson, Jan Mendling

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

Resource analysis is an area of process mining concerned with the behavior and performance of resources within business processes. Recent contributions in this field have predominantly focused on gaining specific insights, less so on their visual representation. In this paper, we propose a resource analytics technique that focuses on effective visualization of the analysis. Our technique allows us to analyze the allocation and performance of single resource units and roles within a business process. We evaluate our technique using a prototypical implementation.

Originalsprache	Englisch
Titel des Sammelwerks	Enterprise, Business-Process and Information Systems Modeling
Untertitel des Sammelwerks	25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings
Herausgeber*innen	Han van der Aa, Dominik Bork, Rainer Schmidt, Arnon Sturm
Erscheinungsort	Cham
Verlag	Springer Nature
Seiten	117-128
Seitenumfang	12
Auflage	1.
ISBN (elektronisch)	9783031610073
ISBN (Print)	9783031610066, 9783031610080
DOIs	https://doi.org/10.1007/978-3-031-61007-3_10 https://doi.org/10.1007/978-3-031-61007-3_10
Publikationsstatus	Veröffentlicht - 2024
Veranstaltung	25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024 - Limassol, Zypern Dauer: 3 Juni 2024 → 4 Juni 2024

Publikationsreihe

Reihe	Lecture Notes in Business Information Processing
Band	511 LNBIP
ISSN	1865-1348

Konferenz

Konferenz	25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024
Land/Gebiet	Zypern
Ort	Limassol
Zeitraum	3/06/24 → 4/06/24

Bibliographische Notiz

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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Zitat

Hoogmoed, A., Vidgof, M., Djurica, D., Rubensson, C., & Mendling, J. (2024). Visual Representation of Resource Analysis Insights for Process Mining. in H. van der Aa, D. Bork, R. Schmidt, & A. Sturm (Hrsg.), Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings (1. Aufl., S. 117-128). Springer Nature. https://doi.org/10.1007/978-3-031-61007-3_10, https://doi.org/10.1007/978-3-031-61007-3_10

Hoogmoed, Alana ; Vidgof, Maxim ; Djurica, Djordje et al. / Visual Representation of Resource Analysis Insights for Process Mining. Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. Hrsg. / Han van der Aa ; Dominik Bork ; Rainer Schmidt ; Arnon Sturm. 1. Aufl. Cham : Springer Nature, 2024. S. 117-128 (Lecture Notes in Business Information Processing, Band 511 LNBIP).

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title = "Visual Representation of Resource Analysis Insights for Process Mining",

abstract = "Resource analysis is an area of process mining concerned with the behavior and performance of resources within business processes. Recent contributions in this field have predominantly focused on gaining specific insights, less so on their visual representation. In this paper, we propose a resource analytics technique that focuses on effective visualization of the analysis. Our technique allows us to analyze the allocation and performance of single resource units and roles within a business process. We evaluate our technique using a prototypical implementation.",

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author = "Alana Hoogmoed and Maxim Vidgof and Djordje Djurica and Christoffer Rubensson and Jan Mendling",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024 ; Conference date: 03-06-2024 Through 04-06-2024",

year = "2024",

doi = "10.1007/978-3-031-61007-3_10",

language = "English",

isbn = "9783031610066",

series = "Lecture Notes in Business Information Processing",

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Hoogmoed, A , Vidgof, M , Djurica, D, Rubensson, C & Mendling, J 2024, Visual Representation of Resource Analysis Insights for Process Mining. in H van der Aa, D Bork, R Schmidt & A Sturm (Hrsg.), Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. 1. Aufl., Springer Nature, Cham, Lecture Notes in Business Information Processing, Bd. 511 LNBIP, S. 117-128, 25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024, Limassol, Zypern, 3/06/24. https://doi.org/10.1007/978-3-031-61007-3_10, https://doi.org/10.1007/978-3-031-61007-3_10

Visual Representation of Resource Analysis Insights for Process Mining. / Hoogmoed, Alana ; Vidgof, Maxim ; Djurica, Djordje et al.
Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. Hrsg. / Han van der Aa; Dominik Bork; Rainer Schmidt; Arnon Sturm. 1. Aufl. Cham: Springer Nature, 2024. S. 117-128 (Lecture Notes in Business Information Processing, Band 511 LNBIP).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Visual Representation of Resource Analysis Insights for Process Mining

AU - Hoogmoed, Alana

AU - Vidgof, Maxim

AU - Djurica, Djordje

AU - Rubensson, Christoffer

AU - Mendling, Jan

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Resource analysis is an area of process mining concerned with the behavior and performance of resources within business processes. Recent contributions in this field have predominantly focused on gaining specific insights, less so on their visual representation. In this paper, we propose a resource analytics technique that focuses on effective visualization of the analysis. Our technique allows us to analyze the allocation and performance of single resource units and roles within a business process. We evaluate our technique using a prototypical implementation.

AB - Resource analysis is an area of process mining concerned with the behavior and performance of resources within business processes. Recent contributions in this field have predominantly focused on gaining specific insights, less so on their visual representation. In this paper, we propose a resource analytics technique that focuses on effective visualization of the analysis. Our technique allows us to analyze the allocation and performance of single resource units and roles within a business process. We evaluate our technique using a prototypical implementation.

KW - Performance analysis

KW - Process mining

KW - Resource analysis

KW - Visual analytics

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U2 - 10.1007/978-3-031-61007-3_10

DO - 10.1007/978-3-031-61007-3_10

M3 - Contribution to conference proceedings

SN - 9783031610066

SN - 9783031610080

T3 - Lecture Notes in Business Information Processing

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BT - Enterprise, Business-Process and Information Systems Modeling

A2 - van der Aa, Han

A2 - Bork, Dominik

A2 - Schmidt, Rainer

A2 - Sturm, Arnon

PB - Springer Nature

CY - Cham

T2 - 25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024

Y2 - 3 June 2024 through 4 June 2024

ER -

Hoogmoed A , Vidgof M , Djurica D, Rubensson C, Mendling J. Visual Representation of Resource Analysis Insights for Process Mining. in van der Aa H, Bork D, Schmidt R, Sturm A, Hrsg., Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. 1. Aufl. Cham: Springer Nature. 2024. S. 117-128. (Lecture Notes in Business Information Processing, Band 511 LNBIP). doi: 10.1007/978-3-031-61007-3_10, 10.1007/978-3-031-61007-3_10