{"title":"The research of business intelligence system based on data mining","authors":"H. Lei, Huang Yifei, Guo Yi","doi":"10.1109/LISS.2015.7369786","DOIUrl":null,"url":null,"abstract":"In recent years, China's ports continuously improve the level of information, with remarkable achievements in improving service processes, improving operational efficiency, logistics, port services has become more automated and intelligent. But with the increasingly fierce competition in the port business, simply increased automation and operational efficiency can't meet the demand for port development, there are many problems in business operations and business decisions because lack of business intelligence applications, resulting in the port. The value of this paper is that the specific business decisions can be linked with business intelligence optimization theory and practice in port, which is full utilization of the characteristics of the port business data. Data mining technology and business intelligence systems combine to achieve financial risk control port and customer policy management, decision-making ability of enterprises to improve the port.","PeriodicalId":124091,"journal":{"name":"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISS.2015.7369786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In recent years, China's ports continuously improve the level of information, with remarkable achievements in improving service processes, improving operational efficiency, logistics, port services has become more automated and intelligent. But with the increasingly fierce competition in the port business, simply increased automation and operational efficiency can't meet the demand for port development, there are many problems in business operations and business decisions because lack of business intelligence applications, resulting in the port. The value of this paper is that the specific business decisions can be linked with business intelligence optimization theory and practice in port, which is full utilization of the characteristics of the port business data. Data mining technology and business intelligence systems combine to achieve financial risk control port and customer policy management, decision-making ability of enterprises to improve the port.