{"title":"多维数据立方体中指标的结构和可视化","authors":"E. E. Akimkina","doi":"10.21499/2409-1650-2018-4-79-87","DOIUrl":null,"url":null,"abstract":"The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.","PeriodicalId":424160,"journal":{"name":"Informacionno-technologicheskij vestnik","volume":"48 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Structuring and visualization of indicators in multidimensional data cubes\",\"authors\":\"E. E. Akimkina\",\"doi\":\"10.21499/2409-1650-2018-4-79-87\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.\",\"PeriodicalId\":424160,\"journal\":{\"name\":\"Informacionno-technologicheskij vestnik\",\"volume\":\"48 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Informacionno-technologicheskij vestnik\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21499/2409-1650-2018-4-79-87\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informacionno-technologicheskij vestnik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21499/2409-1650-2018-4-79-87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structuring and visualization of indicators in multidimensional data cubes
The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.
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