Incorporating External Data Into a BI Solution at a Public Waste Management Organization

Mattias Strand and Anna Syberfeldt
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Mattias Strand: University of Skövde, Skövde, Sweden
Anna Syberfeldt: University of Skövde, Skövde, Sweden

International Journal of Business Intelligence Research (IJBIR), 2019, vol. 10, issue 2, 36-56

Abstract: 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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jbir00:v:10:y:2019:i:2:p:36-56

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