Big Data Analytics for Effective Decision Making in Business Intelligence

Year : 2024 | Volume :11 | Issue : 01 | Page : –
By

    Om Santosh Dhumal

  1. Tanmay navanath bhor

  1. Research Scholar, MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, Maharashtra, India
  2. Research Scholar, MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, Maharashtra, India

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.

Keywords: Bigdaa Analytics, Business Intelligence, Decision-Making, Data Transformation, Information Processing, Technology Integration.

[This article belongs to Journal of Advanced Database Management & Systems(joadms)]

How to cite this article: Om Santosh Dhumal, Tanmay navanath bhor.Big Data Analytics for Effective Decision Making in Business Intelligence.Journal of Advanced Database Management & Systems.2024; 11(01):-.
How to cite this URL: Om Santosh Dhumal, Tanmay navanath bhor , Big Data Analytics for Effective Decision Making in Business Intelligence joadms 2024 {cited 2024 Apr 03};11:-. Available from: https://journals.stmjournals.com/joadms/article=2024/view=138405


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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received February 29, 2024
Accepted March 21, 2024
Published April 3, 2024