Enabling Enterprises to make their datadomore by empowering self-service analytics.

Overview

Scaling Analytics is a challenge that most of the enterprises face today, due to the explosion of data in the digital age. This is compounded by a plethora of internal and external data sources, which lead to 80% of the data science life cycle being spent on data acquisition and preparation, rather than on core data science. Analytics Workbench enables agile analytics, by providing capabilities of Data discovery, Wrangling, Model building, Model Management, Model Consumption, Visualization and Workflow management in an integrated platform to accelerate the data science life cycle