Abstract
Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.
| Original language | English |
|---|---|
| Title of host publication | Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings |
| Pages | 287-296 |
| Number of pages | 10 |
| Volume | 2287 LNCS |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | 8th International Conference on Extending Database Technology, EDBT 2002 - Prague, Czech Republic Duration: 25 Mar 2002 → 27 Mar 2002 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2287 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 8th International Conference on Extending Database Technology, EDBT 2002 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 25.3.02 → 27.3.02 |
Fingerprint
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Semantic analysis of business process executions. / Casati, Fabio; Shan, Ming Chien.
Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings. Vol. 2287 LNCS 2002. p. 287-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2287 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Semantic analysis of business process executions
AU - Casati, Fabio
AU - Shan, Ming Chien
PY - 2002
Y1 - 2002
N2 - Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.
AB - Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.
UR - http://www.scopus.com/inward/record.url?scp=84883769495&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883769495&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883769495
SN - 3540433244
SN - 9783540433248
VL - 2287 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 287
EP - 296
BT - Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings
ER -