Study C: Perspectives on Collaboration Procedures and Politics during the Support of Decision Processes with Business Intelligence and Analytics

Abstract

Raising the level of decision quality in managerial decision processes by utilizing business intelligence and analytics (BI&A) is a crucial task, but the realization of the expected benefits is often challenging (Clark et al., 2007; Davenport, 2010; Polites, 2006; Watson et al., 2002). BI&A comprises a set of data collection, integration, and analytics technologies, which aim at improving data processing and analysis procedures along the information value chain (Chaudhuri et al., 2011; Chen et al., 2012; Dinter, 2013; Koutsoukis and Mitra, 2003; Watson, 2010). These technologies equip BI&A-experts (i.e., analysts or data scientists) with the technological capabilities for supplying decision makers with high quality information (Davenport and Harris, 2007; Viaene, 2013).

This is the accepted author’s version of the following article: Kowalczyk, M. and Buxmann, P. (2015a), “Perspectives on Collaboration Procedures and Politics during the Support of Decision Processes with Business Intelligence & Analytics”, European Conference on Information Systems 2015. The definitive publisher-authenticated version is available online at: http://aisel.aisnet.org/ecis2015_cr/109.