Business Intelligence and Decision-Making Performance: A Conceptual Model Integrating Decision Speed and comprehensiveness

Abstract

With recent advances in business intelligence and artificial intelligence, it has become easier to access relevant data for better decision-making. Effective decision-making requires the use of management tools capable of ensuring accurate and timely decision-making. This research is conducted within this framework, with the objective of analyzing the contribution of business intelligence-assisted management control to improving decision-making performance.

This study is based on a systematic narrative review of the literature and proposes a conceptual model that integrates the main research findings.

The theoretical results show that management control supported by business intelligence improves decision-making performance, with the speed and accuracy of decisions serving as two key indicators of this performance.