Turning Data into Actionable Business Insights

An online bookstore stores information about books, customers, and orders every day. As the amount of data grows, it becomes difficult to answer important business questions manually, such as: - Which books generate the highest revenue? - Which customers spend the most? - Which genres are performing well? - How are sales changing over time? - Which books need inventory attention? This project demonstrates how SQL can answer these questions efficiently using structured queries.

Uber generates a large volume of trip data every day, making it challenging for business stakeholders to monitor booking trends, revenue performance, vehicle utilization, customer travel behavior, and location demand. The objective of this project is to develop an interactive Power BI dashboard that provides a centralized view of key operational metrics, enabling business users to identify trends, compare performance across multiple dimensions, and support strategic decision-making.

Blinkit requires a centralized dashboard to evaluate sales performance across products, outlet types, outlet sizes, and geographic locations. The objective is to identify sales trends, measure customer satisfaction, understand inventory distribution, and uncover business opportunities using interactive data visualizations and key performance indicators (KPIs).