Enhancing Organizational Performance and Strategic Forecasting Through Business Intelligence Technique

Sonam Srivastava

doi:10.70454/JRICST.2025.20401

Authors

Sonam Srivastava Sikkim Manipal University, Sikkim Author

DOI:

https://doi.org/10.70454/JRICST.2025.20401

Keywords:

Business Intelligence, Sales Forecasting, Data Visualization, Predictive Analytics, Organizational Performance

Abstract

In this paper, show how BI applications can lead to sales forecasting and organizational performance improvements based on the case of a retail store. To detect patterns, performance issues and actionable results, a relatively simple business intelligence model based on descriptive, diagnostic and predictive analytics was applied. Although descriptive analytics revealed regional sales differences, diagnostic analytics found that too much discounting reduces profit. The comparison analysis confirmed that the proposals enable more profit, better discount management and improved performance in general when BI-based decision making is applied versus traditional methods. The present work evaluates five leading BI tools, namely Power BI, Tableau, Qlik Sense, Looker and SAP Business Objects based on their scalability, data integration and visualization features. In addition, future sales were predicted with the help of predictive models such as ARIMA, Prophet, etc., which contributed to inventory control and strategic alignment. The results highlight that BI solutions are core enablers of data-driven decision making, operational efficiency, and even continuous growth. With cloud and AI integration, BI provides real-time analytics to enable organizations stay competitive, agile, and responsive in today’s business landscape.

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