As someone else working in the BI space, my coworkers and myself have been saying similar things. I feel like "Big Data" has the same feel that BI had years ago.
Also, we're all pretty sure that the title "Data Scientist" will be applied far too liberally. I have friends at other BI firms who are already calling themselves data scientists because they attended a convention where the words "Hadoop" and "Cloudera" were spoken.
Exactly, I find there is not enough definition and way too much overlap. Even on Kaggles front page where they show 3 examples of 'the worlds top data scientists' it says:
Alexander Larko:
-Experienced Computer Scientist & Data Miner with wide ranging skillset
No disrespect to this man's skills but I'm sure there are hundreds of us on here that could easily fall under that category!?!
Here is a collection of open source Operations Research (CP and LP falls under the umbrella of Operations Research) projects: http://www.coin-or.org/projects/
There are many fantastic open source libraries in there to handle many types of optimization or assignment.
Also, we're all pretty sure that the title "Data Scientist" will be applied far too liberally. I have friends at other BI firms who are already calling themselves data scientists because they attended a convention where the words "Hadoop" and "Cloudera" were spoken.