Descriptive Analytics

Descriptive analytics is like looking at the rear-view mirror to understand the road you've already travelled. It helps businesses and individuals make sense of what happened in the past by analyzing historical data.

For example, a retail store might use descriptive analytics to look at last month’s sales figures and see which products sold the most. By summarizing this data into charts or reports, it gives a clear picture of trends, patterns, and customer behaviour.

This type of analytics doesn’t predict the future or explain why something happened. It’s focused purely on understanding past events. Descriptive analytics is used in everyday situations, from checking your step count on a fitness app to a company reviewing last quarter's performance.

In short, it helps people make informed decisions by providing insights from past data, turning raw numbers into easy-to-understand insights!