Abstract
Business process activities and their outcomes rely on data that is commonly stored in databases. If the stored data is not accurate, namely, it does not reflect the relevant real world values, the process execution might be disrupted and the process might not be able to reach its goal. Detection of such cases and analysis of their causes may help redesign processes to reduce the potential risks. In this research, we aim to develop a semi-automated method that will enable detection, assessment, and mitigation of risks related to data inaccuracy in business processes. The method will be built on and evaluated with real cases from the industry.
Original language | English |
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Title of host publication | Business Process Management Workshops BPM 2014 International Workshops, Revised Papers |
Editors | Fabiana Fournier, Jan Mendling |
Publisher | Springer Verlag |
Pages | 557-560 |
Number of pages | 4 |
ISBN (Electronic) | 9783319158945 |
DOIs | |
State | Published - 2015 |
Event | International Workshops on Business Process Management Workshops, BPM 2014 - Eindhoven, Netherlands Duration: 7 Sep 2014 → 8 Sep 2014 |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 202 |
ISSN (Print) | 1865-1348 |
Conference
Conference | International Workshops on Business Process Management Workshops, BPM 2014 |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 7/09/14 → 8/09/14 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
Keywords
- Business processes
- Data inaccuracy
- Process design
- Process mining
- Risk assessment
ASJC Scopus subject areas
- Control and Systems Engineering
- Management Information Systems
- Business and International Management
- Information Systems
- Modeling and Simulation
- Information Systems and Management