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QPQ brings together quanititative experience from the financial field, from valuation to forecasting; the business world, from business intelligence to customer behavior prediction; the lab, from pure math and statistics to hands-on science, and the technology field, from computation theory to systems integration and software development.

In recent years, we've concentrated on areas such as predictive models and pattern recognition geared at data sets that are largely unuseable with traditional business intelligence tools or statistics packages.

We specialize in dealing with the problems you encounter after building the first model: data sets that are too large to process, too malformatted to import, too redundant to algorithmically de-duplicate, or too raw to understand.

Let us know what you need to know from your data and where you're stuck, and we can most likely get you to your next step or give you the ultimate solution.

[ Data demos coming soon ]

             
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