{"title":"利用数据分析进行客户细分:某金融机构的实验研究","authors":"Pavels Goncarovs","doi":"10.1109/ITMS.2018.8552951","DOIUrl":null,"url":null,"abstract":"The customer segmentation divides customers into groups according to a range of different characteristics. It is necessary to understand the customers from different angles. The paper describes a five steps customer segmentation method consisting of gathering of quantitative information; creating specific microsegments; sorting microsegments; creating final customer segments; and linking the segments to marketing. The method is used for customer segmentation at a financial institution. The experimental studies conducted specifically focus on interactions between customer area-specific micro segmentations and final all-round customer segmentation. The final segmentation results are integrated in business intelligence applications for utilization in marketing operations.","PeriodicalId":367060,"journal":{"name":"2018 59th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Using Data Analytics for Customers Segmentation: Experimental Study at a Financial Institution\",\"authors\":\"Pavels Goncarovs\",\"doi\":\"10.1109/ITMS.2018.8552951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The customer segmentation divides customers into groups according to a range of different characteristics. It is necessary to understand the customers from different angles. The paper describes a five steps customer segmentation method consisting of gathering of quantitative information; creating specific microsegments; sorting microsegments; creating final customer segments; and linking the segments to marketing. The method is used for customer segmentation at a financial institution. The experimental studies conducted specifically focus on interactions between customer area-specific micro segmentations and final all-round customer segmentation. The final segmentation results are integrated in business intelligence applications for utilization in marketing operations.\",\"PeriodicalId\":367060,\"journal\":{\"name\":\"2018 59th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 59th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITMS.2018.8552951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 59th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITMS.2018.8552951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Data Analytics for Customers Segmentation: Experimental Study at a Financial Institution
The customer segmentation divides customers into groups according to a range of different characteristics. It is necessary to understand the customers from different angles. The paper describes a five steps customer segmentation method consisting of gathering of quantitative information; creating specific microsegments; sorting microsegments; creating final customer segments; and linking the segments to marketing. The method is used for customer segmentation at a financial institution. The experimental studies conducted specifically focus on interactions between customer area-specific micro segmentations and final all-round customer segmentation. The final segmentation results are integrated in business intelligence applications for utilization in marketing operations.