What is Prescriptive Analytics?
Prescriptive analytics is a type of data analysis that goes beyond describing what happened, using historical data and modeling to recommend specific actions to improve future outcomes.
Why does Prescriptive Analytics matter?
In recruiting, prescriptive analytics can point a recruiter toward a specific action, like re-engaging a particular candidate segment or adjusting a job posting, rather than just reporting a metric and leaving the interpretation to the recruiter.
How does Prescriptive Analytics work?
The system analyzes historical hiring data to identify patterns correlated with good outcomes, then generates specific recommendations, such as which sourcing channel to prioritize for a given role type.
Frequently asked questions
How is prescriptive analytics different from descriptive analytics?
Descriptive analytics summarizes what already happened; prescriptive analytics goes further, recommending a specific action based on that data.
Does prescriptive analytics require AI?
Not always, but most modern prescriptive analytics tools use machine learning models to generate recommendations from large historical datasets.
How BrightMove helps
BrightMove’s Wiz Submittal Eval and Wisdom analytics platform surface AI-driven recommendations, like candidate fit scores, directly inside the recruiting workflow. See BrightMove’s AI matching and recruiting analytics.