How to implement augmented analytics–data science experience not required for users


The need to democratize data usage and understanding beyond traditional dashboards and reports has been a major driver of augmented analytics, which Gartner defines as “the use of machine learning (ML) and natural language processing (NLP) to enhance data analytics, data sharing, and business intelligence.”





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