Intelligent analytics as a tool for improving the efficiency of an organization's business processes

Abstract

This article explores the role of intelligent analytics (IA) as a key tool for transforming business processes in modern organizations. It examines the evolution of analytical approaches from traditional business intelligence (BI) to intelligent systems integrating machine learning, process and task mining, predictive modeling, and artificial intelligence-based hypothesis generation. An analysis of empirical cases from Russian and international companies demonstrates that the implementation of IA can shorten decision-making cycles by 42% or more, reduce operational errors by 37%, and identify hidden potential for efficiency unattainable with traditional approaches. The article demonstrates that intelligent analytics not only complements but also fundamentally transforms management processes, shifting organizations from reactive management based on historical data to proactive, scenario-based management in real time. Practical recommendations for IA implementation are provided, including the necessary organizational conditions and typical risks.