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Prescriptive Analytics

Linking analysis to decision making through the provision of recommendations

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Prescriptive analytics provides recommendations on what we should do or what choice we should make to achieve a certain outcome.

It usually involves the integration of numerical optimization techniques, with business rules and even financial models.

Prescriptive analytic techniques might help for instance understand which customers to target to maximize a return on investment.
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Technologies that we use

We use a variety of software tools that help us master data management, metadata management, data quality and data analysis and visualization, such as:

  • R
  • Python
  • SPSS
  • Tableau
  • XLMiner
  • OpenRefine

R Algorithms

Python Algorithms


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Application areas

There are a wide variety of sales, finance, supply chain, logistics, and transportation applications where the value, location and movement of objects are critical to the function of a business, and where there is need for data analytics.





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