Data-driven enterprises represent a relatively new trend in MIS and organizational science literatures – as such, the way it should be approached, deployed and managed in corporate environments still needs further exploration. In this context, data science technologies may offer novel insights by enabling re-organization, administration and governance of large volumes of both structured and unstructured data. In such a thesis the objectives could be: