There is a need to develop an effective BI solution to handle the complextity of information. One of the major applicant of BI solution is to facilitate the management team to derive better business decision. In the organization, management’s activities always involve Complex Cognitive Activities (CCA). CCA are important during decision making, analysis, forecasting, strategizing and sense making. These activities always take place in the collaboration settings especially between experts and decision makers from various fields and levels. While there is an effort to develop various BI solutions to facilitate these kind of activities, there is lack of understanding about the application of CCA in collaborative settings. This effort is still in its early stage and there is much to be understood in order to develop an effective BI solution to support CCA. One of the primitive and essential challenges for Collaborative-CCA is about suportive the convergence of ideas—or the convergence phase. In this paper, we focus on identifying the challenges within the convergence phase during the Collaborative-CCA process by using a qualitative approach based on a literature analysis and semi structured interviews in the real organization settings. The data collected from the focused study and emergent sampling strategies have been analysed using Deductive Qualitative Analysis (DQA). Our findings highlight two key issues: (i) the difficulties to clarify the main driver (goal); and (ii) the difficulties to see and draw the interconnectedness between various elements as the cause that impacts the understanding for the convergence during Collaborative-CCA process. From the research found the importance of BI solution to handle convergence by represent complexity in a way users can sense some awareness about the main driver and synthesizing multiple elements towards better value and quality of the Collaborative-CCA outcomes.