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Predictive Analytics

Delivering the insights you need to help your business grow

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Predictive modeling refers to the process of building statistical or machine-learning models to make predictions based on data.
Predictive Analytics helps us take what we know about what happened in the past, and use that information to help us predict what will happen in the future.
This almost always involves the application of advanced statistical methods or other numeric techniques such as linear or logistic regression, tree based algorithms, neural networks and simulation techniques such as Monte Carlo simulation.
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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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