Difference between revisions of "Prescriptive Analytics"

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* [https://www.cmswire.com/customer-experience/a-look-at-prescriptive-analytics-and-the-value-they-can-deliver/ A Look at Prescriptive Analytics and The Value They Can Deliver | A Look at Prescriptive Analytics and The Value They Can Deliver - CMSwire]
 
* [https://www.cmswire.com/customer-experience/a-look-at-prescriptive-analytics-and-the-value-they-can-deliver/ A Look at Prescriptive Analytics and The Value They Can Deliver | A Look at Prescriptive Analytics and The Value They Can Deliver - CMSwire]
 
* [https://www.investopedia.com/terms/p/prescriptive-analytics.asp What Is Prescriptive Analytics? How It Works and Examples | Troy Segal - Investopedia]
 
* [https://www.investopedia.com/terms/p/prescriptive-analytics.asp What Is Prescriptive Analytics? How It Works and Examples | Troy Segal - Investopedia]
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Prescriptive analytics is a type of analytics that uses machine learning and other AI techniques to recommend actions that optimize a specific business objective. AI can support prescriptive analytics in several ways:
 
Prescriptive analytics is a type of analytics that uses machine learning and other AI techniques to recommend actions that optimize a specific business objective. AI can support prescriptive analytics in several ways:
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* <b>Optimization</b>: optimize complex systems that have many interdependent variables. This optimization can help identify the best course of action to achieve a specific business objective.
 
* <b>Optimization</b>: optimize complex systems that have many interdependent variables. This optimization can help identify the best course of action to achieve a specific business objective.
 
* <b>Real-time decision-making</b>: make real-time decisions based on changing conditions. This can help organizations respond quickly to changing circumstances and make decisions that are more likely to achieve their desired outcome.
 
* <b>Real-time decision-making</b>: make real-time decisions based on changing conditions. This can help organizations respond quickly to changing circumstances and make decisions that are more likely to achieve their desired outcome.
 
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An AI guides you to the best outcome.
 
 
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Revision as of 13:42, 10 July 2023

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An AI guides you to the best outcome.



Prescriptive analytics is a type of analytics that uses machine learning and other AI techniques to recommend actions that optimize a specific business objective. AI can support prescriptive analytics in several ways:

  • Data analysis: analyze large amounts of data to identify patterns and relationships that are not immediately apparent to humans. This analysis can help identify the key drivers of a particular business outcome and inform the development of prescriptive models.
  • Predictive modeling: develop predictive models that forecast future outcomes based on historical data. These models can be used to identify the most likely outcomes of different actions and inform prescriptive recommendations.
  • Optimization: optimize complex systems that have many interdependent variables. This optimization can help identify the best course of action to achieve a specific business objective.
  • Real-time decision-making: make real-time decisions based on changing conditions. This can help organizations respond quickly to changing circumstances and make decisions that are more likely to achieve their desired outcome.