{"title":"弥合数据仓库和业务流程之间的差距:事件驱动流程链的业务智能视角","authors":"V. Stefanov, B. List","doi":"10.1109/EDOC.2005.11","DOIUrl":null,"url":null,"abstract":"Data warehouse (DWH) information is accessed by business processes, and sometimes may also initiate changes of the control flow of business process instances. Today, there are no conceptual models available that make the relationship between the DWH and the business processes transparent. In this paper, we extend the event-driven process chain, a business process modeling language, with an additional perspective to make this relationship explicit in a conceptual model. The model is tested with example business processes.","PeriodicalId":106387,"journal":{"name":"Ninth IEEE International EDOC Enterprise Computing Conference (EDOC'05)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Bridging the gap between data warehouses and business processes: a business intelligence perspective for event-driven process chains\",\"authors\":\"V. Stefanov, B. List\",\"doi\":\"10.1109/EDOC.2005.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data warehouse (DWH) information is accessed by business processes, and sometimes may also initiate changes of the control flow of business process instances. Today, there are no conceptual models available that make the relationship between the DWH and the business processes transparent. In this paper, we extend the event-driven process chain, a business process modeling language, with an additional perspective to make this relationship explicit in a conceptual model. The model is tested with example business processes.\",\"PeriodicalId\":106387,\"journal\":{\"name\":\"Ninth IEEE International EDOC Enterprise Computing Conference (EDOC'05)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ninth IEEE International EDOC Enterprise Computing Conference (EDOC'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDOC.2005.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ninth IEEE International EDOC Enterprise Computing Conference (EDOC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOC.2005.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bridging the gap between data warehouses and business processes: a business intelligence perspective for event-driven process chains
Data warehouse (DWH) information is accessed by business processes, and sometimes may also initiate changes of the control flow of business process instances. Today, there are no conceptual models available that make the relationship between the DWH and the business processes transparent. In this paper, we extend the event-driven process chain, a business process modeling language, with an additional perspective to make this relationship explicit in a conceptual model. The model is tested with example business processes.