Today's organizational world is faced with large amounts of data that is not being used properly. As a result, some information is ignored, making it difficult to make effective business decisions and optimal analysis for good strategic planning. This paper shows the development of a business intelligence tool that uses Ralph Kimball's methodology for decision making and determines the influence he has on decision making. Using the experimental design, the sample consists of 30 decision-making processes (experimental group) for pre-test and post-test. The results show an 82.10% reduction in time, a 23.57% increase in reliability, a 59.19% reduction in losses, and a 17.93% increase in accuracy rating compared to at the post-test, applied to the experimental group.