This report focuses on the emerging “augmented” features designed to help untrained businesspeople, as well as experienced analysts and power users, gain data-driven insight and make better decisions.
As this report details, augmented features can help people prepare data for analysis, discover what’s interesting about selected data sets, select best-fit analyses and visualizations, and determine what
caused notable outcomes. Automated statistical and ML techniques are helping those who aren’t data scientists to see trends, develop forecasts, generate predictive models and even suggest nextbest actions. NL understanding and NL generation technologies also help to humanize data analysis, supporting language-based querying and offering textual descriptions that aid users in understanding visual analyses and raw stats.