Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work - Harlan Harris, Sean Murphy, Marck Vaisman

Your data is part of your biz differentiation, the trick is to maximize its value, and the people working in the field.

At last someone who tries and succeeds to put some order in the field of Data Science.

10 years ago Statistics was the next sexy job. Five years ago it Big Data. But what does that statement mean? Why do we suddenly care about statistics and about data? And the answer is because the web is full of data-driven apps, ie, almost any e-commerce application is a data-driven application. 

There’s a database behind a web front end and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data it's not really what we mean by “data science.” A data application acquires its value from the data itself, and creates more data as a result. It’s not just an application with data; it’s a data product. Data science enables the creation of data products.

The ability to take data, ie, to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it -- that’s going to be a hugely important skill in the next decades.