OTSI’s AutoEDA is an exploratory data analysis accelerator that helps enterprises streamline data analysis routines of predictive analytics projects through intelligent automation.

Using robust statistical techniques, AutoEDA generates intelligent insights, unanticipated trends, and unlocks hidden characteristics by finding complex relationships in the data. AutoEDA’ s engine is designed to scale out to work with big data.

The accelerator translates raw data into actionable insights that aid in better domain understanding, appropriate data cleansing, and data preparation by choosing the right feature engineering techniques.

AutoEDA focuses on productivity improvements during the exploratory data analysis stage of the predictive analytics project life-cycle. It automates manual analytics development processes and can reduce up to 70% of the time from the overall data analysis phase.

AutoEDA describes and generates insights on the data through univariate and bivariate analysis. It generates descriptive and graphical data exploration findings. The insights are presented in the accelerator dashboard and are also available for download.