Ameliya Eleanor Zarah, Georgiana Jane Rebecca, Isla Elodie Winifred
{"title":"大数据分析及其对欧亚银行效率的影响","authors":"Ameliya Eleanor Zarah, Georgiana Jane Rebecca, Isla Elodie Winifred","doi":"10.14311/bit.2022.01.18","DOIUrl":null,"url":null,"abstract":"Banking as a comprehensive data topic is constantly evolving under the advertising influences of the era of big data. Checking out the innovative significant details analytic resources as Data Mining methods is crucial for the banking industry, which strives to reveal valuable information from the overwhelming amount of information and achieve much better strategic management as well as client satisfaction. To offer good guidance for future development and research, a most comprehensive current evaluation of the present investigation condition of DM in banking will be incredibly advantageous. Since pre-existing reviews only handle the uses until 2013, this particular newspaper seeks to fill up this particular exploration gap, plus provides the substantial progressions and most recent DM implementations in banking article 2013. By gathering and analyzing the fads of study concentration, information online resources, technical aids, and information analytical resources, this particular newspaper contributes to getting important insights regarding the succeeding advancements of equally DM along with the banking industry, in addition to an extensive 1 stop guide table. Additionally, we identify the primary key obstacles and provide a summary for those interested parties facing the difficulties of big data.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data analytics and its impact on efficient banking in Europe-Asia\",\"authors\":\"Ameliya Eleanor Zarah, Georgiana Jane Rebecca, Isla Elodie Winifred\",\"doi\":\"10.14311/bit.2022.01.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Banking as a comprehensive data topic is constantly evolving under the advertising influences of the era of big data. Checking out the innovative significant details analytic resources as Data Mining methods is crucial for the banking industry, which strives to reveal valuable information from the overwhelming amount of information and achieve much better strategic management as well as client satisfaction. To offer good guidance for future development and research, a most comprehensive current evaluation of the present investigation condition of DM in banking will be incredibly advantageous. Since pre-existing reviews only handle the uses until 2013, this particular newspaper seeks to fill up this particular exploration gap, plus provides the substantial progressions and most recent DM implementations in banking article 2013. By gathering and analyzing the fads of study concentration, information online resources, technical aids, and information analytical resources, this particular newspaper contributes to getting important insights regarding the succeeding advancements of equally DM along with the banking industry, in addition to an extensive 1 stop guide table. Additionally, we identify the primary key obstacles and provide a summary for those interested parties facing the difficulties of big data.\",\"PeriodicalId\":150829,\"journal\":{\"name\":\"Business & IT\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business & IT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14311/bit.2022.01.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business & IT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14311/bit.2022.01.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Big data analytics and its impact on efficient banking in Europe-Asia
Banking as a comprehensive data topic is constantly evolving under the advertising influences of the era of big data. Checking out the innovative significant details analytic resources as Data Mining methods is crucial for the banking industry, which strives to reveal valuable information from the overwhelming amount of information and achieve much better strategic management as well as client satisfaction. To offer good guidance for future development and research, a most comprehensive current evaluation of the present investigation condition of DM in banking will be incredibly advantageous. Since pre-existing reviews only handle the uses until 2013, this particular newspaper seeks to fill up this particular exploration gap, plus provides the substantial progressions and most recent DM implementations in banking article 2013. By gathering and analyzing the fads of study concentration, information online resources, technical aids, and information analytical resources, this particular newspaper contributes to getting important insights regarding the succeeding advancements of equally DM along with the banking industry, in addition to an extensive 1 stop guide table. Additionally, we identify the primary key obstacles and provide a summary for those interested parties facing the difficulties of big data.