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@article{206854,
        author = {Sarita Moond and Dr. Subhash Chandra and Mr. Vinod Todwal},
        title = {Business Intelligence: Enhancing Decision-Making in A Rapidly Evolving Business Environment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {214-227},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206854},
        abstract = {Business Intelligence (BI) has emerged as a critical enabler for data-driven decision-making in modern organizations operating in complex and rapidly evolving business environments. The exponential growth of data, coupled with increasing competitive pressures, has created a pressing need for intelligent systems capable of transforming raw data into meaningful, actionable insights. This study examines the evolution, architecture, benefits, challenges, and strategic impact of Business Intelligence in supporting effective organizational decision-making. The research adopts a Systematic Literature Review (SLR) methodology to analyze existing academic and industry-focused studies related to BI concepts, architectural frameworks, data modeling techniques, implementation challenges, and emerging trends. The study explores the integration of BI with advanced technologies such as Big Data, Artificial Intelligence (AI), and Machine Learning (ML), highlighting their roles in enhancing analytical capabilities and organizational agility. Key benefits of BI across diverse sectors are identified alongside critical success factors and challenges, including data quality issues, integration complexity, and ethical concerns such as algorithmic bias and data governance. The research also presents a comparative analysis of Agile and Waterfall project management methodologies in the context of BI implementation, evaluating their impact on flexibility, user involvement, delivery speed, and project success. The findings confirm that Agile methodology is particularly effective for dynamic BI environments, while Waterfall remains suitable for stable, compliance-driven projects. The study further identifies critical success factors including management support, user involvement, strategic alignment, and robust governance frameworks as essential prerequisites for sustainable BI adoption.},
        keywords = {Business Intelligence, Decision-Making, BI Architecture, Data Warehousing, OLAP, Agile Methodology, Waterfall Methodology, Critical Success Factors, Emerging Trends, Artificial Intelligence, Data Governance, ETL},
        month = {July},
        }