{"title":"Design and Research of Statistical Analysis System Based on Business Decision Field","authors":"Xiao lianLi, Dexin Qiao, Yu Ding, Yingwen Shi, Wenting Guo, Daiming Wei","doi":"10.17706/jsw.15.6.172-180","DOIUrl":null,"url":null,"abstract":"With the gradual deepening and expansion of the scale of enterprise information construction, it is more and more required that the system can break the business barriers and data barriers, and realize a new software design idea of data sharing, technology sharing and collaboration. At present, the data statistics system of large-scale energy enterprises has been unable to meet and adapt to the increasingly complex and huge data analysis demand group. There are many kinds of calculation caliber and groups, and the data processing capacity has multiplied. The original system has been overwhelmed. Therefore, a set of functions is needed to support the comprehensive statistical business needs of the group headquarters, integrate discrete statistics, and provide integrated big data statistical business management; finally, the functions of data collection, data verification and data presentation of the comprehensive statistical business of the company are realized, so as to improve the level of statistical business data query and data analysis.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"222 1","pages":"172-180"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"e Informatica Softw. Eng. J.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17706/jsw.15.6.172-180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the gradual deepening and expansion of the scale of enterprise information construction, it is more and more required that the system can break the business barriers and data barriers, and realize a new software design idea of data sharing, technology sharing and collaboration. At present, the data statistics system of large-scale energy enterprises has been unable to meet and adapt to the increasingly complex and huge data analysis demand group. There are many kinds of calculation caliber and groups, and the data processing capacity has multiplied. The original system has been overwhelmed. Therefore, a set of functions is needed to support the comprehensive statistical business needs of the group headquarters, integrate discrete statistics, and provide integrated big data statistical business management; finally, the functions of data collection, data verification and data presentation of the comprehensive statistical business of the company are realized, so as to improve the level of statistical business data query and data analysis.