International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Innovative Data Visualization for Business Intelligence: Enabling Ad-hoc Querying and Predictive Analysis

Author(s) Vasudev Pendyala
Country United States
Abstract This comprehensive analysis explores the transformative impact of innovative Business Intelligence (BI) solutions that combine ad-hoc querying capabilities with advanced predictive analytics. The article examines the limitations of traditional BI tools and highlights the critical need for more flexible and powerful solutions in today's fast-paced business environment. It delves into the key features of modern BI solutions, including interactive visualizations, natural language processing, automated data preparation, multi-source data integration, and collaborative features. The study also investigates the far-reaching effects of these advanced BI tools on various aspects of business operations and strategy, such as operational efficiency, strategic planning, customer-centric approaches, risk mitigation, and innovation. Supported by extensive industry data and research, this analysis demonstrates how these cutting-edge BI solutions are reshaping the way organizations interact with data, make decisions, and compete in an increasingly data-driven marketplace.
Keywords Keywords: Business Intelligence (BI), Ad-hoc Querying, Predictive Analytics, Data Visualization, Decision-Making
Field Computer
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-18
Cite This Innovative Data Visualization for Business Intelligence: Enabling Ad-hoc Querying and Predictive Analysis - Vasudev Pendyala - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28791
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.28791
Short DOI https://doi.org/g8np94
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