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@article{182045,
        author = {Aditya Gupta},
        title = {Technical paper for Power BI based Valmart supermarket chain’s  Data analysis & visualization project},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {722-724},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182045},
        abstract = {This study presents a data analysis and visualization project conducted for Valmart, a multi-outlet supermarket chain, using Microsoft Power BI. The project aimed to extract actionable insights from large-scale retail data for 1559 items encompassing over 8,523 rows. Utilizing Power Query for ETL operations and DAX expressions for analytical computation, the research produced interactive Power BI dashboards to aid strategic and operational decisions. Important business KPIs like Sales turnover, Profit margins, and Product performance represented on insightful and easy-to-understand Power BI dashboards.},
        keywords = {},
        month = {July},
        }