Data Point No. 1: Lack of Resources to Execute Data Science Projects Data science is an interdisciplinary approach that involves mathematicians, statisticians, data engineering, software engineers ...

These numbers tell a clear story. Despite all the money and technology we throw at data science, most projects don't deliver real business value. Why is this happening, and how can we fix it?

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue ...