Augmented Analytics: Democratizing Data Analysis

Augmented analytics is the next step  in the evolution of analytics, according to research firm Gartner. Calling it the “third major wave for data and analytics capabilities,” Gartner describes augmented analytics as drawing on machine learning, natural-language processing and generation, text mining and automated data processing to find actionable patterns and remove bias.

It uses automation to design algorithms to detect schemas of interest and find metadata.  By automating much of the data preparation along with the pattern recognition and operational functions, users are able to "interact with the data in a way that’s not so labor-intensive or so specialized,” said Rick Howard, a research vice president at the company. READ MORE ON: GCN

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DataYusra Hamid