Difference between revisions of "Prescriptive Analytics"

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* [[Prescriptive Analytics|Prescriptive &]] [[Predictive Analytics]] ... [[Operations & Maintenance|Predictive Maintenance]] ... [[Forecasting]] ... [[Market Trading]] ... [[Sports Prediction]] ... [[Marketing]] ... [[Politics]] ... [[Excel#Excel - Forecasting|Excel]]
 
* [[Prescriptive Analytics|Prescriptive &]] [[Predictive Analytics]] ... [[Operations & Maintenance|Predictive Maintenance]] ... [[Forecasting]] ... [[Market Trading]] ... [[Sports Prediction]] ... [[Marketing]] ... [[Politics]] ... [[Excel#Excel - Forecasting|Excel]]
 
* [[Strategy & Tactics]] ... [[Project Management]] ... [[Best Practices]] ... [[Checklists]] ... [[Project Check-in]] ... [[Evaluation]] ... [[Evaluation - Measures|Measures]]
 
* [[Strategy & Tactics]] ... [[Project Management]] ... [[Best Practices]] ... [[Checklists]] ... [[Project Check-in]] ... [[Evaluation]] ... [[Evaluation - Measures|Measures]]
* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
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* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]\
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* [https://www.sas.com/en_us/insights/analytics/prescriptive-analytics.html Prescriptive Analytics | SAS]
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* [https://www.ibm.com/analytics/prescriptive-analytics Prescriptive Analytics | IBM]
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* [https://www.stitchdata.com/resources/prescriptive-analytics/ Prescriptive Analytics | StitchData]
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* [https://www.spiceworks.com/marketing/ai-in-marketing/articles/prescriptiveanalyticsvs-artificial-intelligence/amp/ Prescriptive Analytics | Spiceworks]
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* [https://www.forbes.com/sites/forbestechcouncil/2021/02/11/predictive-and-prescriptive-analytics-represent-the-future-of-aiits-up-to-us-to-use-them-wisely/?sh=24ac8c965a5d Prescriptive Analytics | Forbes]
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* [https://www.wizata.com/knowledge-base/advanced-ai-from-predictive-to-prescriptive-analytics Prescriptive Analytics | Wizata]
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* [https://www.cmswire.com/customer-experience/a-look-at-prescriptive-analytics-and-the-value-they-can-deliver/ Prescriptive Analytics | CMSwire]
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* [https://www.investopedia.com/terms/p/prescriptive-analytics.asp Prescriptive Analytics | 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:
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* <b>Data analysis</b>: 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.
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* <b>Predictive modeling</b>: 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.
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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.
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* <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.

Revision as of 13:33, 10 July 2023

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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:

  • 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.