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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Study D: An Ambidextrous Perspective on Business Intelligence and Analytics Support in Decision Processes
verfasst von : Martin Kowalczyk
Erschienen in: The Support of Decision Processes with Business Intelligence and Analytics
Verlag: Springer Fachmedien Wiesbaden
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Data-centric decision support is vital for managerial decision making in organizational decision processes. Business intelligence and analytics (BI&A) equips analytics experts (i.e., analysts or data scientists) with the technological capabilities to support decision processes with reliable information and analytic insights (Chaudhuri et al., 2011; Chen et al., 2012; Davenport and Harris, 2007; Davenport and Patil, 2012). The added value of BI&A is based on increasing the utilization of “data-driven” decision making and thus improving decision quality and organizational performance (Brynjolfsson et al., 2011; McAfee and Brynjolfsson, 2012; Pfeffer and Sutton, 2006).