Prescriptive analysis
- Uses previous insights to make a final decision about a business issue
Prescriptive analytics is a data analysis technique that uses algorithms to
recommend the best course of action to achieve a desired goal. It's a type of
advanced analytics that helps organizations make data-driven decisions.
- Prescriptive analytics analyzes data to identify patterns that can be used to make predictions
- Prescriptive analytics uses predictive analytics algorithms to predict what will happen in the future
- Prescriptive analytics uses the predictions to recommend actions that can optimize results
- Prescriptive analytics systems learn from new data and outcomes to improve their recommendations over time
Benefits
- Prescriptive analytics can help organizations improve resource allocation and streamline business processes
- Prescriptive analytics can help organizations detect anomalies and trends that indicate potential threats
- Prescriptive analytics can help businesses anticipate customer needs and preferences
Examples
- YouTube: YouTube's algorithm analyzes data on what videos users watch and recommends similar content
- TikTok: TikTok's "For You" feed is an example of prescriptive analytics
- Lead scoring: Prescriptive analytics can help predict how much revenue a lead can generate for a business
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