Actionable Data Science

Our Actionable Data Science R&D involves

  • Research with community/citizen scientists who learn to collect data, organize and analyze their data, and use their data to inform their decisions

  • Research and development of innovative ways to build and market personal datasets

  • Using data analysis tools (e.g., Tableau, Knime, Alteryx) so that data can be leveraged to provide actionable answers to critical user questions.

Source: Knime.com