Download the white paper: Advanced ‘Big Data’ Analytics with R and Hadoop

Big Analytics delivers competitive advantage in two ways compared to the traditional analytical model. First, Big Analytics describes the efficient use of a simple model applied to volumes of data that would be too large for the traditional analytical environment. Research suggests that a simple algorithm with a large volume of data is more accurate than a sophisticated algorithm with little data. The algorithm is not the competitive advantage; the ability to apply it to huge amounts of data—without compromising performance—generates the competitive edge. 

Second, Big Analytics refers to the sophistication of the model itself. Increasingly, analysis algorithms are provided directly by database management system (DBMS) vendors. To pull away from the pack, companies must go well beyond what is provided and innovate by using newer, more sophisticated statistical analysis.

Revolution Analytics is addressing both of these opportunities in Big Analytics. Through development of connectors and algorithms for Hadoop, which is increasingly being used to manage Big Data, the company is enabling advanced analysis within the Hadoop environment.  



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