Business intelligence has fundamentally changed how companies conduct their business. In literature, the focus has been on volume-operation companies that provide services to millions of customers. In contrast, complexsystems companies have fewer customers and pursue customer needs by providing more customized products and services. This paper presents the results of a case study conducted at a complex-systems company, with the overall aim to identify how complex-systems companies may take advantage of business intelligence. A framework was used to measure business intelligence maturity of the company. In addition, we also explain the current maturity level of the casecompany, based on critical factors for success adopted from the literature. In doing so, we also contribute on important details regarding factors that must be considered by organizations, in order to leverage their analytical capability.Finally, we also propose topics that need to be further investigated, in order to increase current knowledge regarding BI usage and maturity in complex-systems companies.

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Becoming a data-driven organization is a vision for several organizations. It has been frequently mentioned in the literature that data-driven organizations are likely to be more successful than organizations that mostly make decisions on gut feeling. However, few organizations make a successful shift to become data-driven, due to a number of different types of barriers. This article investigates, the initial journey to become a data-driven organization for 13 organizations. Data has been collected via documents and interviews, and then analyzed with respect to: i) how they scaled up the usage of analytics to become data-driven; ii) strategies developed; iii) barriers encountered; and iv) usage of an overall change process. The findings are that most organizations start their journey via a pilot project, take shortcuts when developing strategies, encounter previously reported top barriers, and do not use an overall change management process.