Data science and BI differ in the foci of their investigations. DS is consumed with supporting the development of data products. As Monica Rogati of LinkedIn notes, “On one side, I’ve been working on building products … The other side is finding interesting stories in the data.” BI, on the other hand, is all about measuring and managing business performance. At their best, though, both disciplines have an evidenced-based “science of business” foundation that makes me reject the contention by some that data science has a higher calling and is more scientifically sophisticated than BI.
Steve Miller puts the accent on the difference of maturity of the two fields. I’d say the difference in the approaches is even more important.
Original title and link: Data Science and BI: Similarities and Differences ( ©myNoSQL)