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@article{175064,
        author = {Mr.Vinod B Wanjari and Prof. Rahul Navkhare and Prof. Rupali Dasrwar},
        title = {Intelligent Data Visualization and Decision-Making: A Review of AI Applications in Business Analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1630-1633},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175064},
        abstract = {The "Business Analytics AI-Based Tool" project aims to revolutionize business intelligence by integrating advanced artificial intelligence (AI) technologies to enhance data analysis and reporting. This tool enables the creation of dynamic reports and interactive dashboards featuring diverse visualizations—such as charts, graphs, and heat maps—customized to users' analytical needs. It seamlessly connects to multiple data sources, including SQL, Google Drive, Azure, and Amazon S3, ensuring comprehensive data accessibility. Key features include an AI Co-Pilot that analyzes data schemas to recommend visualizations, Natural Language Processing (NLP) for text- and voice-driven dashboard creation, and speech-to-text functionality for intuitive user interaction. Robust security measures, such as role-based access controls and secure API integrations, safeguard data privacy, while administrative tools manage users, roles, and licenses effectively. Developed using an agile methodology, the platform prioritizes scalability, adaptability, and user-centric design. By harnessing AI and machine learning, this tool empowers organizations with automated, data-driven insights, fostering operational efficiency and informed decision-making.},
        keywords = {Business Analytics,Artificial Intelligence, Data Visualization, Natural Language Processing (NLP), Dashboard Creation, AI Co-Pilot,Data Security, Multi-Source Integration, Agile Methodology, Decision-Making},
        month = {April},
        }