Roles
Data Scientists

Spend more time interpreting model outputs, less time preparing data or creating scripts

Currently 80% of a data scientist’s time is spent manually preparing, shaping and tinkering with data for analysis. Often, additional time is needed to write scripts in common languages such as R and Python for large scale and complex problems. Datawatch Angoss offers a user-friendly, click-driven way to streamline and automate data preparation and improving data accuracy, leaving more time for model analysis. A rich, visual user interface allows data scientists to efficiently create sophisticated statistical models, allowing them to uncover new patterns and make data easy to work with much sooner than when using traditional tools and techniques. The ability to export models into a variety of languages and embed model into business applications allows data scientists to collaborate with and deliver insight to the business for the purpose of monetization strategies and business transformation purposes.

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