Although, there are many tools to support leaders, organizational decision-making processes are still susceptible to errors and biases. Business analytics (BA) is one of the approaches to support managers in making well-informed/evidence-based business decisions. Despite huge investments, BA projects continue to fail. From one side research papers show that managers require information in their decision making process, whereas from another side there are studies presenting that business decisions are often made based on gut feelings and intuitions ignoring part or all of the available data/information. Using experiments authors of this research investigate whether information delivery in the time when the business decision is being made influences or changes the decision maker's mind, and thereby, leads to a different decision outcome. The research contributes to descriptive and prescriptive decision theory and adds to existing literature in the field of BA. The research also, provides insights into selective perception and decision maker's behavior when warnings about decision consequences are given. Based on the obtained research results, this study presents recommendations on how BA solutions can potentially be improved.