The Applied Data Science Lab develops novel analytical applications to improve the real world around us. Pritzker and May (2015:7) define Data Science as “the extraction of actionable knowledge directly from data through a process of discovery, or hypothesis formulation and hypothesis testing”. In addition, they also relate the skills needed in Data Science.
Based on their observations Spruit & Lytras (2018), following Spruit & Jagesar (2016), propose to define Applied Data Science as “the knowledge discovery process in which analytical systems are designed and evaluated to improve the daily practices of domain experts”. This is in contrast to fundamental data science which aims to develop novel statistical and machine learning techniques for performing Data Science.