International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
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 |
| DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.28791 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
10.36948/ijfmr
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