Definition of Predictive analytics
What is Predictive analytics?
Predictive analytics is a way of using data and math to make educated guesses about what might happen in the future. It's like looking at patterns in information to figure out possible outcomes.
In PA, computers analyze large amounts of data to find trends and patterns. By studying these patterns, PA can help make predictions about future events or behaviors. For example, businesses might use predictive analytics to forecast sales, while healthcare providers might use it to predict patient outcomes. It's a powerful tool that helps people make smarter decisions based on insights from data.
A company might use PA to predict which customers are most likely to buy a certain product based on their past purchases and behavior patterns. This helps the company target its marketing efforts more effectively and increase sales.
Predictive analytics is a method of using data analysis to make informed predictions about future events or behaviors. It's like using clues from the past to make educated guesses about what might happen next.
If you want to learn more in the context of predictions, click on predictive policy and trend prediction.
