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The adoption of Enterprise Resource Planning (ERP) systems by global corporations has allowed many firms to integrate their business processes resulting in organizational data being centralized in a common data repository (Raber et al., 2013; Hawking and Sellitto, 2015). An important benefit of centralized data access is that it enhances a firm’s capabilities to extract, prepare and subsequently analysis the data so as to better inform organizational decision makers (Elragal 2014). Indeed, ERP-derived data has become a primary resource that allows a firm to generate information that is relevant, current and complete— allowing managers to perform not only their every-day operational tasks, but also strategic planning activities (Isik et al., 2013).
As a result of the significant amount of data collected through enterprise systems, companies have utilized Business Intelligence solutions to interact with these systems, to gain greater insights into business performance (Aruldoss et al., 2014; Hawking and Sellitto, 2015). According to Raber et al. (2013), Business Intelligence has become an important component of a firm’s information system offering that has been built on technology innovations such as database warehouse systems and interactive user analytics tools. Howson (2007, p. 2) suggests that Business Intelligence is a process that “…allows people at all levels of an organization to access, interact with, and analyse data to manage the business, improve performance, discover opportunities, and operate efficiently”. Indeed, the analysis of corporate data allows a firm to improve productivity and achieve competitive advantage over other firms that may not have the same analytical capabilities (Luftman and Ben-Tvi, 2010; Greiner 2013). According to Foshay et al. (2015), firms continue to make significant investments in Business Intelligence and associated data analytics capabilities even though these systems can be complex to adopt. Arguably, the reporting of strategic approaches on how organizations might use Business Intelligence is desirable— providing practical value for industry groups and researchers.
One sector undergoing important changes regarding the use of Business Intelligence is the fast moving consumer good (FMCG) sector. The FMCG sector has experienced increased industry competition because of mergers, global consolidation, changing regulations, new markets and the advent of digital technologies (McKinsey 2010; PwC 2015). Although the use of Business Intelligence in the FMCG has been documented by various technology vendors and consultants (SAS, 2010; McKinsey 2010; PwC 2015), research in regards to how firms in this sector might align Business Intelligence with company strategy to enhance organizational capabilities is limited (Raber et al., 2013). Huang and Yasuda (2016) indicate that there is a critical need to understand ERP-related issues associated with post-implementation developments across specific industry sectors. Hence, this paper’s contribution centers on reporting the development of the Business Intelligence strategy of a global FMCG company and the elements central to that process. The reported Business Intelligence strategy provides important insights that can be potentially adopted by others in the FMCG industry, companies in other trade sectors or government departments.