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@article{172329,
        author = {Bharat Ramchandra Pawar and Chandrakanr R. Phad},
        title = {Next-Generation Business Intelligence: The Impact of Advanced Analytics on Strategic Decision-Making},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2726-2741},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172329},
        abstract = {Next-generation Business Intelligence (BI) is transforming strategic decision-making through advanced analytics, leveraging technologies like artificial intelligence, machine learning, and big data. This study explores how predictive and prescriptive analytics enhance decision-making accuracy, agility, and competitiveness across industries. By analyzing existing frameworks, this research identifies challenges such as data governance and organizational resistance while highlighting opportunities for integration into strategic processes. A conceptual model is proposed to bridge gaps between traditional BI and advanced analytics, offering practical insights for businesses aiming to stay competitive in a data-driven world. The findings contribute to academic literature and provide actionable strategies for industry stakeholders to embrace innovation responsibly.},
        keywords = {Business Intelligence (BI), Advanced Analytics, Strategic Decision-Making, Predictive Analytics, Data-Driven Insights},
        month = {January},
        }