This document discusses eCommerce and the use of data analytics in eCommerce. It first defines eCommerce as business transactions conducted over the internet, then defines data analytics as examining datasets to draw conclusions. It goes on to discuss features and advantages of eCommerce for customers and businesses. It also discusses how data analytics can help businesses with forecasting, decision-making, customer retention and personalization, and fraud detection. Finally, it briefly covers different models of eCommerce like B2C, B2B, C2C, and B2G, and discusses challenges of eCommerce like security, verification, competition and traffic.