In modern-day organizations, managers are expected to rely on business analytics tools and models when making decisions. Business analytics related literature offers various business analytics related capability models that should help organizations to increase the role of data in managerial decision making. However, these models do not seem to take into consideration that the ultimate decision making accountability often lies in the hands of an individual manager, whose task is to select and combine various types of knowledge in order to understand the aspects of different types of decision-making situations, and to come into feasible conclusions in different contexts. To be able to better support their managers and to ensure they can realize the expected value of their business analytics investments, organizations should pay more attention to what kind of knowledge their individual managers use in decision-making situations, and how they use it. With the help of four initial propositions, this paper demonstrates the underlying reasons for individual managers to use various types of knowledge when making decisions, even when they are expected to make data-driven decisions supported by business analytics. Based on these initial propositions, further research ideas are suggested, to help increase the understanding on how different types of knowledge are affiliated into managerial decision making.