In today's business landscape, companies across industries are intently focused on becoming data driven. Enormous investments are being made in data-related technology and data expertise to extract business value. But shockingly, most companies are failing. Where's the gap?

On any given day, a data scientist is a mathematician, a statistician, a computer programmer, and an analyst equipped with a diverse and wide-ranging skillset, balancing knowledge in different computer programming languages with advanced experience in data mining and visualization.