A Pool of Free Software Tools to Assist Business Intelligence and Analytics

被引:0
|
作者
Pantano, Juan Cruz [1 ,2 ]
Romagnano, Maria [1 ,2 ]
机构
[1] Natl Univ San Juan, Fac Exact Phys & Nat Sci, Inst Informat, San Juan, Argentina
[2] Natl Univ San Juan, Fac Exact Phys & Nat Sci, Comp Sci Dept, San Juan, Argentina
关键词
Data Science; Integration; Systems; Small and Medium-Sized Enterprises; Transport; Visualization;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
At present, enterprises face new economic models and dedicate a lot of time and resources to obtain, process, apply, and project information. If they do not collect the appropriate data, the information generated will not be accurate, the results will likely be wrong, and any decision made will not be the most appropriate. Business Intelligence and Business Analytics, used properly, can present competitive advantages, allowing organizations to know their current status and forecast future market behaviour, carrying out proactive actions based on predictive and prescriptive analysis. In this work, it is proposed to assist small and medium enterprises by integrating BI and BA into their information systems. The case of a local transport small and medium enterprise is presented where the benefits of applying free software tools, such as PowerBI Desktop, Orange, KNime, and Knowage, were analysed and evidenced.
引用
收藏
页码:14 / 32
页数:19
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