Big Data Analytics for Effective Decision Making in Business Intelligence
Om Santosh Dhumal, Tanmay navanath bhor, DOI : 10.37591
[This article belongs to Journal of Advanced Database Management & Systems(joadms)]
Keywords
Bigdaa Analytics, Business Intelligence, Decision-Making, Data Transformation, Information Processing, Technology Integration.
Abstract
The abstract provides a concise overview of the paper. In this study, we explore the significance of Big Data Analytics (BDA) in enhancing decision-making processes within Business Intelligence (BI) frameworks. It involves processing vast volumes of data from various sources, enabling businesses to identify patterns, trends, and correlations that were previously unnoticed. This analytical power enhances strategic planning, customer understanding, operational efficiency, and competitive advantage. Through advanced algorithms and machine learning techniques, businesses can predict future trends, optimize operations, and personalize customer experiences. Furthermore, Big Data Analytics fosters a culture of data-driven decision-making, ensuring that strategies are aligned with actual market dynamics and consumer behavior, thereby significantly increasing organizational agility and innovation. We investigate the role of BDA in transforming raw data into actionable insights, contributing to more informed and effective decision-making in the business realm.
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