An analytics division in a privately held healthcare company wanted to use their vast amount of patient treatment data to help drive better care and outcomes. They monitored each patient’s progression over their entire course of treatment, storing vast amounts of data in many different formats and across many facilities. This led to a complex dataset, which the company needed to quickly cleanse, simplify and draw fast, actionable treatment conclusions to share with doctors.
RapidMiner’s unified data science platform was chosen for its easy to use drag and drop visual programming and ability to integrate with 3rd party software like Tableau. This gave them the robust data prep and predictive modeling functionality of RapidMiner along with the ability to operationalize results directly into the user friendly, interactive dashboards of Tableau.