Generative AI for Automated Data Analytics: Transforming Decision Intelligence

 Authors:

Ms. Podila Vanaja¹, Sai Sreeja Nusullapalli²

¹Assistant Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Hyderabad, India vannibellamkonda666@gmail.com

² Student, Department of Computer Science and Engineering, St. Martin’s Engineering College, Hyderabad, India saisreeja1111@gmail.com

Abstract

The rapid evolution of Generative Artificial Intelligence (GenAI) is fundamentally transforming data analytics by enabling automation, interpretability, and strategic decision intelligence. Traditional analytics systems often rely on human expertise to interpret outputs, leading to delays, inconsistencies, and cognitive overload. This paper proposes a novel framework integrating Generative AI with automated data analytics pipelines to bridge the gap between predictive outputs and actionable insights. Drawing upon empirical findings from A/B testing automation and AI-assisted analytics systems, this study demonstrates how GenAI enhances decision consistency, reduces bias, and improves scalability.  The paper introduces a multi-layered architecture for AI-driven decision intelligence, evaluates its impact across business scenarios, and provides comparative analysis with traditional analytics approaches. The findings suggest that Generative AI is not merely a tool for automation but a catalyst for autonomous decision ecosystems.

Keywords: Generative AI, Automated Analytics, Decision Intelligence, Business Intelligence, A/B Testing, Predictive Modelling, Strategic Insights.