Business Intelligence Framework for Improving Organizational Decision-Making

Abstract

Business intelligence (BI) is an important part in improving the decision making process in an organization by processing the raw data to meaningful information that is used to make the strategic, tactical and operational decisions. Companies are producing huge amounts of both structured and unstructured data which necessitates the need to implement BI models that will facilitate the analysis, reporting and visualization of data effectively. BI brings together data warehouses, analytics software, dashboards, and decision support systems to enhance the quality, accuracy and speed of decisions [1]. BI systems help modern organizations to determine trends, performance, and optimum expression of resources. BI systems enable companies to enhance their competitive edge, operational efficiency and forecasting using real-time analytics and predictive modeling [20]. The combination of artificial intelligence, machine learning, and the use of big data analytics also improves the capabilities of BI as they allow making intelligent suggestions and providing automatic decision support [13]. BI systems promote the success of an organization through evidence-driven decisions and minimization of uncertainty [26]. This paper suggests a holistic BI system to support the process of making organizational decisions through the combination of data gathering, analytics, visualization, and decision support systems. The framework suggested would enhance the quality and efficiency of decisions as well as responsiveness and allow organizations to reach strategic goals. The results show that BI greatly enhances the quality of decisions, organizational performance, and sustainability in the competitive condition.