%0 Conference Paper %1 1097015 %A Nguyen, Tho Manh %A Schiefer, Josef %A Tjoa, A. Min %B DOLAP '05: Proceedings of the 8th ACM international workshop on Data warehousing and OLAP %C New York, NY, USA %D 2005 %I ACM %K SARESA architecture response sense service %P 77--86 %R http://doi.acm.org/10.1145/1097002.1097015 %T Sense & response service architecture (SARESA): an approach towards a real-time business intelligence solution and its use for a fraud detection application %U http://portal.acm.org/citation.cfm?doid=1097002.1097015 %X The dynamic business environment of many organizations require massive monitoring of their processes in real-time in order to proactively respond to exceptional situations and to take advantage of time-sensitive business opportunities. The ability to sense and interpret events about a changing business environment requires an event-driven IT infrastructure for pwerforming fast and well-informed decisions and putting them into action. However, traditional Business Intelligence (BI) and Data Warehousing technologies do not directly address time sensitive monitoring and analytical requirements. We introduce an enhanced BI architecture that covers the complete process to sense, interpret, predict, automate and respond to business environments and thereby aims to decrease the reaction time needed for business decisions. We propose an event-driven IT infrastructure to operate BI applications which enable real-time analytics across corporate business processes, notifies the business of actionable recommendations or automatically triggers business operations, and effectively closing the gap between Business Intelligence systems and business processes. A scenario from the area of mobile phone fraud detection was chosen for building a prototype that illustrates the proposed approach by using current available IT technologies. %@ 1-59593-162-7

@inproceedings{1097015, abstract = {The dynamic business environment of many organizations require massive monitoring of their processes in real-time in order to proactively respond to exceptional situations and to take advantage of time-sensitive business opportunities. The ability to sense and interpret events about a changing business environment requires an event-driven IT infrastructure for pwerforming fast and well-informed decisions and putting them into action. However, traditional Business Intelligence (BI) and Data Warehousing technologies do not directly address time sensitive monitoring and analytical requirements. We introduce an enhanced BI architecture that covers the complete process to sense, interpret, predict, automate and respond to business environments and thereby aims to decrease the reaction time needed for business decisions. We propose an event-driven IT infrastructure to operate BI applications which enable real-time analytics across corporate business processes, notifies the business of actionable recommendations or automatically triggers business operations, and effectively closing the gap between Business Intelligence systems and business processes. A scenario from the area of mobile phone fraud detection was chosen for building a prototype that illustrates the proposed approach by using current available IT technologies.}, added-at = {2009-02-16T17:59:18.000+0100}, address = {New York, NY, USA}, author = {Nguyen, Tho Manh and Schiefer, Josef and Tjoa, A. Min}, biburl = {https://www.bibsonomy.org/bibtex/2cebbb4d0d471450fedb19a5650f6c6a1/cschie}, booktitle = {DOLAP '05: Proceedings of the 8th ACM international workshop on Data warehousing and OLAP}, description = {Sense & response service architecture (SARESA)}, doi = {http://doi.acm.org/10.1145/1097002.1097015}, interhash = {9b7b11b31d8ab71683f39f594649d845}, intrahash = {cebbb4d0d471450fedb19a5650f6c6a1}, isbn = {1-59593-162-7}, keywords = {SARESA architecture response sense service}, location = {Bremen, Germany}, pages = {77--86}, publisher = {ACM}, timestamp = {2009-03-13T14:43:00.000+0100}, title = {Sense & response service architecture (SARESA): an approach towards a real-time business intelligence solution and its use for a fraud detection application}, url = {http://portal.acm.org/citation.cfm?doid=1097002.1097015}, year = 2005 }