LEADER 03895nam 2200601 450 001 9910483610603321 005 20220505132734.0 010 $a3-540-73950-5 024 7 $a10.1007/978-3-540-73950-0 035 $a(CKB)1000000000490368 035 $a(SSID)ssj0000316547 035 $a(PQKBManifestationID)11273166 035 $a(PQKBTitleCode)TC0000316547 035 $a(PQKBWorkID)10281813 035 $a(PQKB)10397564 035 $a(DE-He213)978-3-540-73950-0 035 $a(MiAaPQ)EBC3061708 035 $a(MiAaPQ)EBC6707160 035 $a(Au-PeEL)EBL6707160 035 $a(PPN)123164109 035 $a(EXLCZ)991000000000490368 100 $a20220505d2007 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aBusiness intelligence for the real-time enterprises $efirst international workshop, BIRTE 2006, Seoul, Korea, September 11, 2006, revised selected papers /$fedited by Christoph Bussler [and three others] 205 $a1st ed. 2007. 210 1$aBerlin ;$aHeidelberg :$cSpringer-Verlag,$d[2007] 210 4$d??2007 215 $a1 online resource (IX, 157 p.) 225 1 $aLecture notes in computer science ;$v4365 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-73949-1 320 $aIncludes bibliographical references and index. 327 $aPractical Considerations for Real-Time Business Intelligence -- What Can Hierarchies Do for Data Streams? -- Leveraging Distributed Publish/Subscribe Systems for Scalable Stream Query Processing -- Transaction Reordering and Grouping for Continuous Data Loading -- A Scalable Heterogeneous Solution for Massive Data Collection and Database Loading -- Two-Phase Data Warehouse Optimized for Data Mining -- Document-Centric OLAP in the Schema-Chaos World -- Callisto: Mergers Without Pain -- Real-Time Acquisition of Buyer Behaviour Data ? The Smart Shop Floor Scenario -- Business Process Learning for Real Time Enterprises -- An Integrated Approach to Process-Driven Business Performance Monitoring and Analysis for Real-Time Enterprises -- Quality Contracts for Real-Time Enterprises. 330 $ast The 1 Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE nd 2006) was held on September 11, 2006 in conjunction with the 32 International Conference on Very Large Data Bases (VLDB 2006) in Seoul, Korea. The - location with VLDB is very important as the topic of the workshop was centered on different aspects in the lifecycle of business intelligence on very large enterprise-wide operational real-time data sets. In today?s competitive and highly dynamic environment, analyzing data to und- stand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become critical. The traditional approach to reporting is not longer adequate; users now - mand easy-to-use intelligent platforms and applications capable of analyzing real-time business data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, enabled by the availability of up-to-date, high-quality information. 410 0$aLecture notes in computer science ;$v4365. 606 $aBusiness intelligence$xData processing$vCongresses 606 $aManagement information systems$vCongresses 615 0$aBusiness intelligence$xData processing 615 0$aManagement information systems 676 $a658.472 702 $aBussler$b Christoph 712 12$aBIRTE (Conference) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483610603321 996 $aBusiness Intelligence for the Real-Time Enterprises$9772066 997 $aUNINA