What is predictive analytics at a high level?

< 1 min read

Predictive analytics uses historical data and statistical models to forecast future outcomes.
It identifies patterns that indicate what is likely to happen next.
In a project, we predicted customer churn based on past behavior and engagement.
Marketing used this to target at-risk customers with retention campaigns.
It helps businesses anticipate trends, risks, and opportunities.
Predictive analytics supports proactive rather than reactive decision-making.
It is commonly applied in sales forecasting, demand planning, and risk management.

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