What are the two types of analytics that help understand future outcomes and recommend actions?
These analytics help in forecasting future behaviors and suggesting actions to achieve desired outcomes.
Define predictive analytics.
Using historical data and AI algorithms to forecast future outcomes and behaviors
A classic example is churn prediction in subscription businesses.
What is a common application of predictive analytics in subscription businesses?
These applications analyze user behavior to identify risks and suggest products.
What does prescriptive analytics do?
Recommends actions to achieve a desired outcome or mitigate risk
It goes beyond prediction to suggest specific actions based on forecasts.
If predictive analytics indicates a customer is likely to churn, what might prescriptive analytics suggest?
These actions aim to retain the customer and enhance their experience.
In e-commerce, what might prescriptive analytics recommend if high demand for a product is forecasted?
These recommendations help businesses respond proactively to market demands.
What types of tools can provide predictive and prescriptive analytics?
Many of these tools include AI-powered predictive lead scoring.
True or false: Predictive analytics only helps in understanding past data.
FALSE
Predictive analytics forecasts future outcomes based on historical data.
Fill in the blank: Predictive analytics is often used for _______ prediction in subscription businesses.
churn
This helps businesses identify customers at risk of canceling their subscriptions.