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June 26, 20260 citationsOpen Access

AI-Driven Business Analytics with Decision Intelligence System

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IDI Kadek Oktayana DKRKoushika shree RMMr.Benazir.T

Key Points

  • The aim is to develop a system that enhances organizational decision-making using AI-driven data insights.
  • Designed an AI-driven system integrating machine learning and business intelligence techniques.
  • Utilized predictive analytics to analyze large datasets and identify patterns.
  • Implemented interactive dashboards for real-time monitoring and automated reporting.
  • The system effectively identifies patterns and forecasts future trends.
  • Enhanced operational efficiency and decision accuracy in organizations was observed.
  • Business decision-making was faster and more reliable in competitive environments.

Abstract

This paper presents an AI-Driven Business Analytics with Decision Intelligence System designed to improve organizational decision-making through data-driven insights. The system integrates machine learning algorithms, business intelligence techniques, and predictive analytics to analyze large volumes of business data efficiently. It helps identify patterns, forecast future trends, and support strategic planning with greater accuracy. Interactive dashboards and automated reporting enhance real-time monitoring and operational efficiency. The proposed solution enables businesses to make smarter, faster, and more reliable decisions in a competitive environment.

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Cite This Study

D et al. (2026) studied this question.

synapsesocial.com/papers/6a3e176b030ad1a9b3090f68https://doi.org/10.5281/zenodo.20808266
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