Project Summary: A multi departmental grocery chain, operating in diverse locations, is looking to enhance its sales analysis and customer insights. The company offers a broad range of food categories, departments and brands and aims to maximize store sales while improving customer experience and promotional strategies. In this project, a report is created by considering various features of the dataset like promotion_name, store_sales, gender, marital_status, brand_name, average_yearly_income, media_type. Correlations between the numerical columns are also observed. The tool used in this project is PowerBI
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A Power BI report is created which describes Grocery Chain Analysis. Different kinds of visuals like Charts, Tables, Slicers are used for analysis. Various measures, calculated columns and functions like SUMX, Summarize, ALL are used in the analysis
SailajaViswanatha/Grocery-Chain-Analysis
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A Power BI report is created which describes Grocery Chain Analysis. Different kinds of visuals like Charts, Tables, Slicers are used for analysis. Various measures, calculated columns and functions like SUMX, Summarize, ALL are used in the analysis
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