Abstract
Providing reliable and timely management information is crucial for supporting the agility of organizations. Business Activity Monitoring (BAM) describes a concept and technology that complements periodic ex-post analysis of process execution by permanently identifying particular situations at runtime and reacting to them by setting alerts or triggering actions with no or low latency. Complex Event Processing (CEP) has emerged as a basic technology for an effective BAM environment. In an integrated BAM/CEP architecture enterprise applications and workflow engines can serve both as event producers and consumers, while event processors filter and transform events, find patterns among them and derive new events. The ladder are consumed e.g. by workflow or enterprise resource planning systems causing new processes or dashboard solutions displaying management information as it arises.
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
Similar content being viewed by others
References
Chandy, K., Schulte, W.: Event Processing: Designing IT Systems for Agile Companies. New York (2010)
Dinter, B., Bucher, T.: Business performance management. In: Chamoni, P., Gluchowski, P. (eds.) Analytische Informationssysteme, 3rd edn., pp. 23–50. Springer, Berlin (2006)
Eckert, M., Bry, F.: Complex event processing (CEP). Inform. Spektrum 32(2), 163–167 (2009)
Etzion, O., Niblett, P.: Event Processing in Action. Manning Publications, Stamford (2011)
Fleischmann, A., Schmidt, W., Stary, C., Obermeier, S., Börger, E.: Subject-Oriented Business Process Management. Springer, Berlin (2012)
Fleischmann, A., Schmidt, W., Stary, C., Strecker, F.: Nondeterministic events in business processes. In: Proceedings of the 6th International Workshop on Event-Driven Business Process Management (edBPM12), Co-located with BPM 2012, Tallinn/Estonia. Lecture Notes in Business Information Processing (LNBIP). Springer, Berlin (2012)
Gassman, B.: Business activity monitoring. In: Dixon, J., Jones, T. (eds.) Hype Cycle for Business Process Management. Gartner Inc., pp. 82–83 (2011)
Grob, H., Coners, A.: Regelbasierte Steuerung von Geschäftsprozessen – Konzeption eines Ansatzes auf Basis von Process Mining. WIRTSCHAFTSINFORMATIK 50(4), 268–281 (2008)
Hermosillo, G., Seinturier, L., Duchien, L.: Using complex event processing for dynamic business process adaptation. In: Proceedings of the 7th IEEE International Conference on Service Computing (SCC), Miami, pp. 466–473 (2010)
Heß, H.: Von der Unternehmensstrategie zur Prozess-Performance – Was kommt nach Business Intelligence? In: Scheer, A.-W., Jost, W., Heß, H., Kronz, A. (eds.) Corporate Performance Management, pp. 7–29. Springer, Berlin (2005)
Janiesch, C., Matzner, M., Müller, O.: A blueprint for event-driven business activity management. In: Rinderle, S., Toumani, F., Wolf, K. (eds.) 9th International Conference on Business Process Management (BPM). LNCS, vol. 6896, pp. 17–28. Springer, Berlin (2011)
Kang, J., Kwan, H.: A business monitoring system supporting real-time business performance management. In: Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT ’08), Washington DC, vol. 1, pp. 473–478 (2008)
Kochar, H.: Business intelligence and business intelligence, http://www.ebizq.net/topics/cep/features/6596.html?&pp=1, last Access 2012-07-25
Luckham, D., Schulte, R. (eds.): Event processing glossary Version 2.0/2011, Event Processing Technical Society, http://www.complexevents.com/2011/08/23/event-processing-glossary-version-2-0/, last Access 2012-07-25
Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Amsterdam (2002)
Luckham, D.: BAM providers as online banking fraud preventers, http://www.ebizq.net/topics/cep/features/4891.html?&pp=1, last Access 2012-07-25
Luckham, D.: The beginnings of IT insight: business activity monitoring, http://www.ebizq.net/topics/cep/features/4689.html?&pp=1, last Access pp. 2012-07-25
Paschke, A.: A semantic rule and event driven approach for agile decision-centric business process management. In: Abramowicz, W., et al. (eds.) ServiceWave 2011. LNCS, vol. 6994, pp. 254–267. Springer, Berlin (2011)
Schmidt, W., Fleischmann, A., Gilbert, O.: Subjektorientiertes Geschäftsprozessmanagement. HMD, Prax. Wirtsch.inform. 266, 52–62 (2009)
Schulte, R., Sumic, Z.: Complex-event processing. In: Dixon, J., Jones, T. (eds.) Hype Cycle for Business Process Management. Gartner Inc., pp. 50–52 (2011)
The event processing manifesto, written by the participants of the 2010 Dagstuhl seminar on event processing, http://drops.dagstuhl.de/opus/volltexte/2011/2985/pdf/10201.SWM.2985.pdf, last Access 2012-07-25
Van der Aalst, W.: Process Mining. Springer, Berlin (2011)
Von Ammon, R., Ertlmaier, T., Etzion, O., Kofman, A., Paulus, T.: Integrating complex events for collaborating and dynamically changing business processes. In: Dan, A., Gittler, F., Toumani, F. (eds.) ICSOC/ServiceWave 2009. LNCS, vol. 6275, pp. 370–384. Springer, Berlin (2010)
Von Ammon, R., Silberbauer, C., Wolff, C.: Domain Specific Reference Models for Event Patterns—for Faster Developing of Business Activity Monitoring Applications. VIPSI, vol. 2007. Lake Bled (2007)
Created with DeltaMaster 5.5.3, see www.bissantz.com
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this chapter
Cite this chapter
Schmidt, W. (2013). Business Activity Monitoring (BAM). In: Rausch, P., Sheta, A., Ayesh, A. (eds) Business Intelligence and Performance Management. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-4866-1_15
Download citation
DOI: https://doi.org/10.1007/978-1-4471-4866-1_15
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4865-4
Online ISBN: 978-1-4471-4866-1
eBook Packages: Computer ScienceComputer Science (R0)