NLP is used by augmented analytics platforms to improve employees’ search capabilities, expand data visualization and build a data-driven culture.
Natural language processing is one of the most important features of augmented analytics platforms. The role of augmented analytics is to democratize data insights by simplifying tasks that have previously required specialized technical knowledge, such as integrating data sets or writing an SQL query.
But just because augmented analytics is easy to use doesn’t mean users know how to think analytically.
“In many implementations, you’re going to have to learn how to ask the question the right way to get the answer that you’re looking for,” said Brian Atkiss, director of applied intelligence solutions at Anexinet. “Some of that does require training and an understanding of how to use the technology, but I think that’s a problem which will disappear over time. As the tools get better, they’ll be able to use more natural language, so the need for training will go away.”
Director, Omni-Channel Analytics
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