{"title":"运用六西格玛进行数据改进","authors":"S. Simonova, H. Kopackova","doi":"10.1109/DT.2014.6868732","DOIUrl":null,"url":null,"abstract":"The Six Sigma quality management method is intended for decreasing defects in production organizations; that is for improving the quality of production processes. Production processes need support of relevant business data. In other words the requirement of production quality can be broadened to requirement for high quality business data. This paper addresses application of the Six Sigma principles for increasing quality of data managed within information systems.","PeriodicalId":330975,"journal":{"name":"The 10th International Conference on Digital Technologies 2014","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Utilization of Six Sigma for data improvement\",\"authors\":\"S. Simonova, H. Kopackova\",\"doi\":\"10.1109/DT.2014.6868732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Six Sigma quality management method is intended for decreasing defects in production organizations; that is for improving the quality of production processes. Production processes need support of relevant business data. In other words the requirement of production quality can be broadened to requirement for high quality business data. This paper addresses application of the Six Sigma principles for increasing quality of data managed within information systems.\",\"PeriodicalId\":330975,\"journal\":{\"name\":\"The 10th International Conference on Digital Technologies 2014\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 10th International Conference on Digital Technologies 2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DT.2014.6868732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 10th International Conference on Digital Technologies 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DT.2014.6868732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Six Sigma quality management method is intended for decreasing defects in production organizations; that is for improving the quality of production processes. Production processes need support of relevant business data. In other words the requirement of production quality can be broadened to requirement for high quality business data. This paper addresses application of the Six Sigma principles for increasing quality of data managed within information systems.
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