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Solving complexity with value-driven business intelligence

机译:以价值驱动的商业智能解决复杂性

摘要

The objective of this study is to develop a business intelligence system for the case company that responds to the requirements of conducting high value creating business analysis. The research process starts with an observation period during which the current practices and systems in the case company are assessed. Previous literature suggests that focusing on timely delivery of insights, pervasive use and predictive analysis help create higher value. Methods and technologies suggested by literature to facilitate high value creation were put to a test using one of the most difficult topics in the case company.Implementing the chosen methods and technologies provided significant improvement compared to previous experiences of the case company. Even so, the implementation of the system still required specialized expertise and thorough understanding of the data. Also the significant time used to study the situation in the case company helped to define the correct solutions to implement.
机译:这项研究的目的是为案例公司开发一个商业智能系统,以响应进行高价值创造业务分析的要求。研究过程从观察期开始,在此期间评估案例公司的当前实践和系统。先前的文献表明,专注于及时提供见解,广泛使用和预测分析有助于创造更高的价值。文献中提出的促进高价值创造的方法和技术使用案例公司最困难的主题之一进行了测试。与案例公司以前的经验相比,实施所选的方法和技术提供了显着的改进。即使这样,系统的实施仍然需要专业知识和对数据的透彻理解。同样,花费大量时间研究案例公司的情况也有助于确定正确的解决方案。

著录项

  • 作者

    Salminen Jaakko;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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