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“Blinkit Data Analysis using SQL” is a data-driven project that explores Blinkit’s grocery dataset to uncover meaningful business insights using SQL. With a strong focus on performance metrics, customer preferences, and outlet efficiency, this project showcases how structured query logic can transform raw data into actionable intelligence.
About Blinkit Dashboard
This Power BI dashboard provides dynamic insights into Blinkit's sales data, helping businesses understand key performance metrics, customer preferences, and sales trends. Designed for data-driven decision-making, the dashboard leverages interactive visualizations, filters, and KPI indicators to uncover valuable business insights
This Power BI dashboard project offers a comprehensive analysis of Blinkit, India's Last Minute App, focusing on sales performance, customer satisfaction, and inventory distribution. The interactive dashboard transforms raw data into actionable insights, enabling data-driven decision-making for business optimization.
This dashboard offers actionable insights into Blinkit's operations, showcasing sales distribution, customer preferences, and outlet performance. It helps stakeholders analyze KPIs, track trends, and make data-driven decisions for business growth and optimization.
Blinkit Dashboard
An interactive Power BI dashboard visualizing Blinkit's sales performance across outlets, item types, and customer ratings for strategic insights.
An extensive sales analysis dashboard for the Indian last-minute delivery service Blinkit is presented in this project. Power BI was used to develop the dashboard, which offers a thorough summary of the company's sales performance across multiple locations and product categories.
Conducted Blinkit delivery app analysis using Power BI, DAX, and KPI’s data relationships to optimize delivery efficiency, track key metrics, and improve customer experience. Developed dynamic dashboards and complex calculations to provide actionable insights for performance enhancement.