Towards Collaborative Business Intelligence with Conversational Agents: A User-Centric Approach

National audience ; In the dynamic landscape of contemporary business, the demand for cutting-edge methodologies integrating intelligent technologies to facilitate effective decision-making is on the rise. Business Intelligence systems have become indispensable tools for decision-making across diverse organizations, and the emergence of Collaborative Business Intelligence (CBI) extends the horizons of informed decision-making by tapping into external information from varied sources. The central aim of this research centers on the development of a model tailored for CBI processes within distributed virtual teams. This is achieved through the interaction between users and a CBI Virtual Assistant. The key role of the virtual assistant is to augment the accessibility of data exploration for a wider user base, concurrently minimizing the time and effort required for data analysis. The proposed model, through its integration of intelligent technologies, seeks to propel collaborative decision-making to new heights, emphasizing accessibility, efficiency, and user empowerment.