将外部数据整合到公共废物管理组织的BI解决方案中

Mattias Strand, Anna Syberfeldt
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引用次数: 0

摘要

组织对将外部数据集成到其商业智能解决方案中表现出越来越大的兴趣。这些数据允许进行高级分析,并使决策更加全面和包容。然而,外部数据合并在文献中相对较少探索,并且科学地发表的关于启动和运行的BI解决方案的详细信息非常少。此外,关于将外部数据合并到BI解决方案中的已发表的文献通常是相当概要的或相当老的(起源于数据仓库相关的文献)。因此,作者介绍了一个公共废物管理组织的行动案例研究的结果,说明了与解决方案后端相关的外部数据整合的详细方面,如数据选择、来源特征、获取技术和频率以及集成方法。鉴于数据的外部来源造成了必须克服的具体问题,以便使合并倡议能够成功,因此对这些问题给予了特别注意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incorporating External Data Into a BI Solution at a Public Waste Management Organization
Organizations are showing an increasing interest in incorporating external data into their business intelligence solutions. Such data allows for advanced analytics and enables more comprehensive and inclusive decision-making. However, external data incorporation is relatively unexplored in the literature, and scientifically published details on up-and-running BI solutions are very sparse. In addition, published literature concerning the incorporation of external data into BI solutions is often rather synoptic or rather old (originating from data warehouse related literature). Therefore, the authors present the results of an action case study at a public waste management organization, illustrating detailed aspects of external data incorporation related to the back-end of the solution such as data selection, source characteristics, acquisition technologies and frequencies, and integration approaches. Given that the external origin of the data poses specific problems that must be overcome in order to allow for successful incorporation initiatives, special attention was paid to such problems.
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