Towards Collaborative Business Intelligence with Conversational Agents: A User-Centric Approach - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

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

Résumé

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.
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Dates et versions

hal-04510208 , version 1 (18-03-2024)

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  • HAL Id : hal-04510208 , version 1

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Olga Cherednichenko, Muhammad Fahad. Towards Collaborative Business Intelligence with Conversational Agents: A User-Centric Approach. Atelier « La place des usagères et usagers dans les outils de fouille et d'exploration de données » (PAUL@EGC 2024), Jan 2024, Dijon, France. ⟨hal-04510208⟩
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