Analytical Visualizations for Decision-Making in Small and Medium Sized Enterprises through Data Mining

被引:0
作者
Norena Cardona, Paola Andrea [1 ]
Quiceno Brand, Gustavo Adolfo [1 ]
Uribe Marin, Luis Armando [1 ]
机构
[1] Tecnol Antioquia Inst Univ, Medellin, Colombia
来源
CUADERNO ACTIVA | 2016年 / 08期
关键词
Analytical visualizations; CRISP-DM; Business Intelligence; decision-making; Data-Mining;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Analytical visualizations are defined, within the context of business intelligence, as tools allowing the previous analysis of large amounts of information in different databases, to help in the making of more strategic decisions. Small and medium sized enterprises do not have Business Intelligence (BI) platforms. They are affected at different times, because of the manipulation and observation of such amounts of information which make their processing difficult. Analytical visualizations are intended to reduce such problem, to allow decision-making in small and medium sized enterprises by using the most appropriate methodology for database analysis from Data Mining. This makes the access easier for these companies into Information Exploitation modules, which are databases to those offered by big Business Intelligence platforms. In addition, the validation of the analytical viewer service in a company is also intended.
引用
收藏
页码:31 / 39
页数:9
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