Prescriptive analysis



  • 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.  

How it works
  • Identify patterns
    Prescriptive analytics analyzes data to identify patterns that can be used to make predictions 
  • Predict outcomes
    Prescriptive analytics uses predictive analytics algorithms to predict what will happen in the future 
  • Recommend actions
    Prescriptive analytics uses the predictions to recommend actions that can optimize results 
  • Learn and adapt
    Prescriptive analytics systems learn from new data and outcomes to improve their recommendations over time 
Benefits 
  • Optimize operations
    Prescriptive analytics can help organizations improve resource allocation and streamline business processes
  • Identify risks
    Prescriptive analytics can help organizations detect anomalies and trends that indicate potential threats
  • Deliver personalized experiences
    Prescriptive analytics can help businesses anticipate customer needs and preferences
Examples
  • YouTubeYouTube's algorithm analyzes data on what videos users watch and recommends similar content 
  • TikTokTikTok's "For You" feed is an example of prescriptive analytics 
    • Lead scoringPrescriptive analytics can help predict how much revenue a lead can generate for a business 

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