[cpg]

"Just hire us" wrapped in a ton of buzzwords.

> Don't let your enterprise make the expensive mistake of thinking that buying tons of proprietary tools will solve your data analytics challenges.

...

> The truth is that a top team of data scientists can achieve great results ... This is broadly the approach that our own data science teams take when working with clients.

[derefr]

Every opinion piece can be rephrased this way. If someone believes in something enough to tell others to do it, they very likely also believe that thing enough to put it into practice themselves.

You'll only hear about the advantages of, say, git, from people who use git. Does that mean they're telling you about git in order to get git some more market-share, so that development effort will be even more concentrated on it? Probably not; they probably just think git is a good idea, and therefore use it themselves.

[code4tee]

I read it as saying skills trumps software. That's very true. Certainly in the "big data" space everyone was looking for the product they could buy to do everything. That doesn't exist. You need good data scientists or you're just going to waste a ton of money implementing more enterprise tools that go nowhere. That I certainly agree with.

[Yhippa]

A lot of the article to me is expanding of people who administer the tools. At some point the people (statisticians) who make sense of this data are kings.