Just one week after Gartner’s European Symposium, I attended yet another IT conference in Barcelona, the Strata + Hadoop World, which finally prompted me to post this last blog entry for 2014. What really caught my attention there was the frequency of encounters, where Python and R were mentioned. Now Strata, of course – has some “population bias”, but already many of my previous encounters with end-users (also at the predictive analytics world in Berlin), indicate the same trend: A lot of innovative data scientists really favor open source components (especially Python and R) in their advanced analytics stack. I hear this a lot, even from the most advanced of our clients… One department head, leading a dozen data scientists at one of the top retailers, gave me the following rationale:
“I would be paying about $5 million just in annual maintenance, if I stuck with vendor xxx … imagine how many gifted data scientists I can buy for that money (?) … and by the way I did hire them and they all use a combination of R and Python”.
This is an argument very much worth considering. For us Garter this means, we will even more scrutinize all vendors regarding their value-add (e.g. debugging, security layers, model management, and decision management). For vendors, this must mean to better open up their platforms to R and Python and similar platforms. Just offering an “R integration” will not be good enough for 2015, vendors! Try to differentiate yourself a bit better than that.
I am really looking forward to your opinions and comments. Please post them here or send them to me directly via email.
Wishing all a great festive season break…
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