Data-Centric Risk Management for Business Processes

Simple item page
dc.contributor.authorMützel, Markus Michael
dc.contributor.authorTafreschi, Omid
dc.date.accessioned2020-12-24T20:11:50Z
dc.date.available2020-12-24T20:11:50Z
dc.date.issued2021-01-05
dc.description.abstractData quality is a key factor enabling the digital transformation, as automated business processes demand it for value creation. This paper explains the relationship between data quality and business processes. In this context, the paper presents two Key Performance Indicators (KPIs) to analyze this relationship and to prioritize actions to improve data quality. The first KPI quantifies the risk of a single process belonging to a process hierarchy based on the quality of its data. The second KPI considers the risk for all analyzed processes based on the quality of a specific data type. Based on these results, the paper presents an approach for prioritizing measures to improve data quality. The applicability of the KPIs is demonstrated with a real application.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.695
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71315
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData Analytics, Control, and Risk Management
dc.subjectbusiness risks
dc.subjectdata monitoring
dc.subjectdata quality
dc.titleData-Centric Risk Management for Business Processes
prism.startingpage5728

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0560.pdf
Size:
541.44 KB
Format:
Adobe Portable Document Format
Download

Collections

Data Analytics, Control, and Risk Management