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Study B: Big Data and Information Processing in Organizational Decision Processes

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The Support of Decision Processes with Business Intelligence and Analytics
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Abstract

In recent years, data-centric approaches such as big data and related approaches from business intelligence and analytics (BI&A) have attracted major attention in both the academic and the business communities (Buhl et al., 2013; Chen et al., 2012; LaValle et al., 2011). The interest is driven by expectations of tremendous improvements in organizational performance based on new business insights and improved decision making. In this context, big data and BI&A can be regarded as two sides of the same coin.

This is the accepted author’s version of the following article: Kowalczyk, M. and Buxmann, P. (2014), “Big Data and Information Processing in Organizational Decision Processes - A Multiple Case Study”, Business & Information Systems Engineering (BISE), Vol. 6 No. 5, pp. 267-278. The definitive publisher-authenticated version is available online at Springer via http://link.springer.com/article/10.1007/s12599-014-0341-5

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Correspondence to Martin Kowalczyk .

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Kowalczyk, M. (2017). Study B: Big Data and Information Processing in Organizational Decision Processes. In: The Support of Decision Processes with Business Intelligence and Analytics. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-19230-3_3

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  • DOI: https://doi.org/10.1007/978-3-658-19230-3_3

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  • Publisher Name: Springer Vieweg, Wiesbaden

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