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Many businesses struggle to make productive use of the vast amounts of data they now collect. Some of it is familiar data related to supply and demand, even though the scale may have increased thanks to the proliferation of products and the globalization of supply chains. Newer data sources include information about individual clicks on a company’s website and natural language processing to interpret the sentiment of comments made on social media. It all amounts to what many refer to as “big data.”

To most, “big data” really means “too big to comprehend” or simply “too complicated to study in a spreadsheet.” They’re not wrong!  But there are wonderfully effective techniques that can be used to organize the data and then to glean insight from it. This is the realm of the data scientist.

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Data Architecture


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Machine Learning


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Internet of Things