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Information Integration

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Business Intelligence

Part of the book series: Progress in IS ((PROIS))

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Abstract

Business intelligence often is expected to provide a composite view of a field of interest, where relevant business dimensions are joined together to produce adequate coverage and context. Integration of both data and information helps boosting the actionable qualities of the results of BI activities. Data integration issues are more of a technical nature, having their roots in database domain. If the technical issues in data integration are deterministic and relatively easy to solve, organizational problems like existence of data silos introduce lack of transparency and efficiency, problems in collaboration and data quality. Information integration encompasses all forms of information—structured and unstructured, internal and external; and centers around an axis—a topic of importance. Because of its cognitive nature, information integration uses sense making procedures that filter the information flow, extract snippets of sense and evaluate the context. The non-linear and often vague nature of information integration lead to development of informal approaches—data spaces, data lakes, data mashups that leave the final information integration steps to the user.

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  1. Economic Informatics, Vilnius University, Vilnius, Lithuania

    Rimvydas Skyrius

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Skyrius, R. (2021). Information Integration. In: Business Intelligence. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-67032-0_5

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