Tapping into the potential of machine learning

Apply machine learning to your Big Data sources

Traditionally, data scientists have used standalone software tools to apply machine learning algorithms to their datasets. Now with Pyramid 2017, they can apply machine learning techniques to their data in the same environment that other analysts and end users are using in their own analyses. When analysis is conducted in the same analytic platform, there’s more opportunity for collaboration—and insight—across the organization.

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Preparing data to be used for advanced data science projects

Prepare data for advanced analysis

Traditional BI tools weren’t designed with data scientists in mind. Data scientists often struggle to apply deep domain skill with advanced analytic and statistical techniques to real-world business situations. They end up spending an inordinate amount of time using point and click (Excel) tools that are manual and error-prone. prepping/normalizing/cleansing data so it can be explored with these advanced analytic and statistical techniques.

With Pyramid 2017, data scientists finally have a BI application that lets them easily do what they do best: data science. This allows them to finally extract meaningful data from Big Data. And more importantly, it gives them the tools to reproduce results of scientific research, a vital aspect of any advanced analyses.

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  • Business questions? Know the problem and the solution.
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    Know the problem and the solution

    Pyramid 2017 provides any business user within the organization with the ability to use BI softwa...

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    Address difficult analytic problems

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    Create compelling analytic content

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    Why choose Pyramid 2017

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