Blinkit sales analysis using power BI: uncovering insights through data visualization
The Blinkit dashboard serves as a vital tool for businesses, particularly in competitive markets where retaining existing customers proves more cost-effective than acquiring new ones. This study offers a detailed analysis of Blinkit operations using Microsoft Power BI, encompassing all key stages such as data preparation, data connection, cleaning, and the development of Key Performance Indicators (KPIs). The dashboard is designed to provide interactive visualizations, enabling users to gain meaningful insights and identify key findings effectively. By leveraging a Blinkit grocery dataset, the project empowers business users with real-time, selfservice analytics that enhance operational efficiency, improve customer satisfaction, and boost overall profitability. The resulting dashboards are tailored to meet the needs of business stakeholders, providing them with actionable insights based on data-driven decisions. The project’s core objective is to bridge the gap between raw data and strategic decision-making by transforming unstructured grocery data into clear, impactful visual analytics. Ultimately, this approach turns complex datasets into intuitive dashboards that support smarter business actions and foster informed decision-making in dynamic retail environments.
Authors
- Suneet Shukla
- Abhishek Tomar (ORCID: https://orcid.org/0000-0002-1032-547X)
- Vinayak Vinayak
- Ayush Mogha
- Abhinav
Institutions
- Chaudhary Charan Singh University (IN)
Publication Details
- Journal
- International Journal of Research in Engineering and Innovation
- Published
- 2025-01-01
- DOI
- https://doi.org/10.36037/ijrei.2025.9303
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00