Smartphones and tablets are ubiquitous for personal use and are increasingly employed for business purposes. When paired with business intelligence to create mobile BI, workers are able to access information wherever they are, at any time, and through a variety of devices. This use has the potential to increase employee productivity, enhance customer service and satisfaction, improve decision making, provide a competitive advantage, and improve the bottom line. Mobility can make BI pervasive throughout an organization, but it is most likely to be used by executives, mid-level and operational managers, sales representatives, and field and internal technicians. To be successful with mobile BI, we must address various issues and challenges such as creating a roadmap, getting started right, meeting user expectations, creating an appropriate technology infrastructure, designing for screen size, and providing for security. Case studies of U.S.Xpress, a leading trucking company, and GUESS, a leading retailer of clothing and accessories, provide many real-world examples of the concepts, options, and best practices associated with mobile BI. Following mainframe, client/server, and Web-based approaches, mobile BI is the fourth generation of how information is delivered.
Watson, H. J. (2015). Tutorial: Mobile BI. Communications of the Association for Information Systems, 37, pp-pp. https://doi.org/10.17705/1CAIS.03729