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Financial data analysis using suitable open-source Business Intelligence solutions

机译:使用合适的开源商业智能解决方案进行财务数据分析

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This paper presents the basic concept of data analysis used on a concrete application problem. The main problem field is to analyze historical data, obtained from financial statements of large amount of companies all over Slovak Republic. To carry out these analyses, OLAP techniques were used. Practical experiments were performed in selected open-source Business Intelligence (BI) solutions - Vanilla and SpagoBI. By the use of these solutions, there is a possibility of identifying important patterns and companies trends, by means of their future heading and other economical aspects. The novelty of the topic presented lies in the future possibility to use this kind of BI analyses as a part of decision support system (DSS) suited for an early warning system or system of recommended actions to prevent bankruptcy.
机译:本文介绍了用于具体应用问题的数据分析的基本概念。主要问题领域是分析历史数据,这些数据是从斯洛伐克共和国境内大量公司的财务报表中获得的。为了进行这些分析,使用了OLAP技术。在选定的开源商业智能(BI)解决方案-Vanilla和SpagoBI中进行了实际实验。通过使用这些解决方案,有可能通过它们的未来发展方向和其他经济方面来确定重要的模式和公司趋势。提出的主题的新颖之处在于,将来有可能将这种BI分析用作决策支持系统(DSS)的一部分,该决策支持系统适用于预警系统或建议采取预防破产措施的系统。

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