{"title":"A Framework for Embedding Analytics in a Business Process","authors":"V. Shankararaman, Swapna Gottipati","doi":"10.1109/CBI.2015.10","DOIUrl":null,"url":null,"abstract":"Competition and cost pressures are creating the need for enterprises to innovate business processes to create new business value, increase operational efficiency, and detect and respond to organizational real time challenges. In order to achieve this, in the past, most organisations have automated their manual processes using business process management technologies and enterprise systems. However, going forward, in order to stay competitive, organizations have to go beyond automating their processes, by making them more intelligent, by embedding analytics into their processes and business applications. In this paper, we propose \"Analytics Driven Business Process Improvement (ADBPI) Framework\" that provides a structure for how an organization can examine its current business process and enhance this process by embedding analytics within the process.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 17th Conference on Business Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBI.2015.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Competition and cost pressures are creating the need for enterprises to innovate business processes to create new business value, increase operational efficiency, and detect and respond to organizational real time challenges. In order to achieve this, in the past, most organisations have automated their manual processes using business process management technologies and enterprise systems. However, going forward, in order to stay competitive, organizations have to go beyond automating their processes, by making them more intelligent, by embedding analytics into their processes and business applications. In this paper, we propose "Analytics Driven Business Process Improvement (ADBPI) Framework" that provides a structure for how an organization can examine its current business process and enhance this process by embedding analytics within the process.