80% of the work involved in Data Science activities is in fact Data Engineering (e.g. Data Aggregation, Representation, Cleansing, Iterative model tuning) which has minimal overlap with core Data Science skills. This is our raison d’être - We exist to take care of this 80%, so Data Science teams can re-double efforts on the 20% of their core activities.