MANAGING INSIGHTS: A REPOSITORY FOR PROCESS ANALYTICS, OPTIMIZATION AND DECISION SUPPORT

被引:0
|
作者
Niedermann, Florian [1 ]
Schwarz, Holger [1 ]
Mitschang, Bernhard [1 ]
机构
[1] Univ Stuttgart, Inst Parallel & Distributed Syst, Univ Str 38, Stuttgart, Germany
关键词
Process repository; Business process management; Business process decision support; Business process optimization; Business process analytics; Analysis results sharing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The success of many large businesses depends on quality of their business processes. Consequently, there are numerous approaches to the analysis and the optimization of these processes. The focus of most of these approaches is, however, on the generation and monitoring of basic metrics, such as the process duration. Further, analysis results are typically considered to be "one-off" efforts, without giving too much thought to reuse. Together, these two factors can have a negative impact on the business process quality, as improvements are either not discovered at all or might be not considered when the context changes. To address this issue, this paper presents an insight-oriented process repository that centrally captures insights based on standardized metrics, data integration and mining methods as well as graph analysis algorithms. The usefulness of this approach is demonstrated in an application to process optimization
引用
收藏
页码:424 / 429
页数:6
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