Abstract :

In Today’s Competitive And Data-rich Business Environment, The Ability To Make Informed Decisions Rapidly Is Crucial For Organizational Success. This Paper Examines The Transformative Role Of Business Intelligence (BI) In Supporting Data-Driven Decision Making (DDDM) Across Industries. BI Systems Integrate Data From Diverse Internal And External Sources To Deliver Timely, Accurate, And Actionable Insights. These Insights Empower Organizations To Improve Operational Efficiency, Enhance Strategic Planning, And Gain A Competitive Edge. The Study Highlights The Key Components Of BI Data Integration, Analytics, Visualization, And Reporting And Explores Its Applications In Sectors Such As Healthcare, Finance, Retail, And Manufacturing. In Addition, It Identifies Major Challenges To BI Adoption, Including Data Silos, Quality Issues, And Resistance To Change. The Paper Also Reviews Emerging Trends In BI, Such As The Integration Of Artificial Intelligence, Machine Learning, Natural Language Processing, And Self-service Analytics. These Advancements Are Reshaping How Decisions Are Made, Enabling Faster, Predictive, And More Democratized Access To Insights. The Findings Underscore The Need For A Strong Data Culture And Strategic Alignment To Fully Leverage BI Technologies In The Digital Era. Keywords: Business Intelligence (BI), DataDriven Decision Making (DDDM), Analytics, Big Data, Strategic Management, Predictive Analytics, Artificial Intelligence, Self-Service BI, Decision Support Systems (DSS).

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

582-588

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite