Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining

Lecture Notes in Business Information Processing - Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems ◽

10.1007/978-3-319-57487-5_7 ◽

2017 ◽

pp. 88-100 ◽

Cited By ~ 1

Author(s):

Pavlos Delias ◽

Ioannis Kazanidis

Keyword(s):

Process Mining ◽

Process Analytics

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Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare

Lecture Notes in Business Information Processing - Process Mining Workshops ◽

10.1007/978-3-030-72693-5_26 ◽

2021 ◽

pp. 343-355

Author(s):

Emmanuel Helm ◽

Oliver Krauss ◽

Anna Lin ◽

Andreas Pointner ◽

Andreas Schuler ◽

...

Keyword(s):

Process Mining ◽

Process Analytics ◽

Open Standards

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Process Mining for Healthcare Process Analytics

2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA) ◽

10.1109/iwsm-mensura.2016.027 ◽

2016 ◽

Cited By ~ 1

Author(s):

Tugba Erdogan ◽

Ayca Tarhan

Keyword(s):

Process Mining ◽

Process Analytics ◽

Healthcare Process

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Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics

Lecture Notes in Computer Science - Business Process Management ◽

10.1007/978-3-030-26619-6_21 ◽

2019 ◽

pp. 322-337

Author(s):

Christopher Klinkmüller ◽

Richard Müller ◽

Ingo Weber

Keyword(s):

Information Needs ◽

Process Mining ◽

Process Analytics

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PRANAS: A Process Analytics System Based on Process Warehouse and Cube for Supply Chain Management

Applied Sciences ◽

10.3390/app10103521 ◽

2020 ◽

Vol 10 (10) ◽

pp. 3521

Author(s):

Aekyung Kim ◽

Josue Obregon ◽

Jae-Yoon Jung

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Reference Model ◽

Process Mining ◽

Chain Management ◽

Process Analytics ◽

Point Analysis ◽

Case Type ◽

Standard Models ◽

Process Oriented

Most organizations need to monitor and assess their business activities. In order to support the performance analysis of the business activities in a more systematic manner, in this research, we introduce a PRocess ANalytics System, called PRANAS. The system adopts process warehouses and process cubes to support process-oriented analysis, as well as data-oriented analysis. In this research, the process warehouse and cube were designed to assess business performances for supply chain management, specifically under the SCOR standard models. Furthermore, the process cube was constructed based on process-related dimensions such as time, case type, and event class to support process mining. Finally, we exemplify how the system can be applied to process analytics with three use cases of process discovery, data analytics, and decision point analysis. It is expected that the proposed system can be a helpful reference model when business process analyst designs process analytics systems in the process-oriented perspective, as well as in the data-oriented perspective.

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