{"title":"Data Quality Through Business Rules","authors":"V. Chanana, A. Koronios","doi":"10.1109/ICICT.2007.375390","DOIUrl":null,"url":null,"abstract":"Good quality data is a valuable asset for any enterprise in this information age. Though volumes of data have grown, their utility for decision making has been meagre. This is a result of poor quality data that enterprises generally possess. Data generation process goes through a number of stages from capture through exchange, integration, migration to storage and data can get corrupted at any stage. Information systems/business applications built with business rules embedded in the code are inadequate to overcome data quality problems. This paper presents a framework that enables enterprise develop business applications that externalize centralized business logic through business rules. Decoupling business rules from the application provides a number of benefits to enterprises including enhanced data quality conforming to defined rules and agility in responding to the ever changing demands of the business environment.","PeriodicalId":206443,"journal":{"name":"2007 International Conference on Information and Communication Technology","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Information and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT.2007.375390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Good quality data is a valuable asset for any enterprise in this information age. Though volumes of data have grown, their utility for decision making has been meagre. This is a result of poor quality data that enterprises generally possess. Data generation process goes through a number of stages from capture through exchange, integration, migration to storage and data can get corrupted at any stage. Information systems/business applications built with business rules embedded in the code are inadequate to overcome data quality problems. This paper presents a framework that enables enterprise develop business applications that externalize centralized business logic through business rules. Decoupling business rules from the application provides a number of benefits to enterprises including enhanced data quality conforming to defined rules and agility in responding to the ever changing demands of the business environment.