Here are the top examples of augmented analytics uses that BI vendors support and enable, including data preparation, NLP-based querying and automated insights.
As business intelligence and analytics providers seek to boost the usability of their platforms, they’re increasingly adding augmented analytics to their product and feature mix. As such, real-world augmented analytics examples have already started piling up in the enterprise. Augmented analytics enhances the statistical number-crunching of continuously collected data points with advanced features that make it easier for both BI analysts and regular business user to tap into insights. These baked-in features include artificial intelligence, automation and natural language processing (NLP) for easier queries.
Author: Ericka Chickowski