Abstract
With access to real-time information on critical performance indicators of business processes, managers and staff members can play a crucial role in improving the speed and effectiveness of an organization’s business operations. While the investments in data warehouse technologies have resulted in considerable information processing efficiencies for the organizations, there is still a significant delay in the time required for mission critical information to be delivered in a form that is usable to managers and staff. In this paper we introduce an architecture for business process monitoring based on a process data store which is a data foundation for operational and tactical decision-making by providing real-time access to critical process performance indicators to improve the speed and effectiveness of workflows. The process data store allows to identify and react to exceptions or unusual events that happened in workflows by sending out notifications or by directly changing the current state of the workflow. Our proposed architecture allows to transform and integrate workflow events with minimal latency providing the data context against which the event data is used or analyzed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bruckner, R.M., Jeng, J.J., Schiefer, J.: Real-time Workflow Audit Data Integration into Data Warehouse System. In: ECIS, Naples (2003)
Dresner, H.: Business Activity Monitoring: New Age BI?. Gartner Research LE-15-8377 (April 2002)
Geppert, A., Tombros, D.: Logging and Post-Mortem Analysis of Workflow Executions based on Event Histories. In: Geppert, A., Berndtsson, M. (eds.) RIDS 1997. LNCS, vol. 1312, pp. 67–82. Springer, Heidelberg (1997)
Jablonski, S., Bussler, C.: Workflow Management. In: Modeling Concepts, Architecture and Implementation. Thomson Computer Press, London (1996)
Koksal, P., Alpinar, S.N., Dogac, A.: Workflow History Management. ACM SIGMOD Record 27(1), 67–75 (1998)
List, B., et al.: The Process Warehouse – A Data Warehouse Approach for Business Process Management. In: MiCT 1999, Copenhagen, Denmark (1999)
Sayal, M., Casati, F., Dayal, U., Shan, M.: Business Process Cockpit. In: Proc. of VLDB 2002, Peking (2002)
Thalhammer, T., Schrefl, M.: Realizing Active Data Warehouses with Off-the-shelf Database Technology. Software - Practice and Experience 32(12), 1193–1222 (2002)
Workflow Management Coalition Audit Data Specification, Document Number WFMCTC- 1015 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schiefer, J., List, B., Bruckner, R.M. (2003). Process Data Store: A Real-Time Data Store for Monitoring Business Processes. In: Mařík, V., Retschitzegger, W., Štěpánková, O. (eds) Database and Expert Systems Applications. DEXA 2003. Lecture Notes in Computer Science, vol 2736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45227-0_74
Download citation
DOI: https://doi.org/10.1007/978-3-540-45227-0_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40806-2
Online ISBN: 978-3-540-45227-0
eBook Packages: Springer Book Archive