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SmartData Collective > Big Data > Data Mining > Using Web 2.0 for Analytics 2.0
Data MiningPredictive Analytics

Using Web 2.0 for Analytics 2.0

Editor SDC
Editor SDC
3 Min Read
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Here is a great video tutorial on You Tube by Zementis, creator of ADAPA,the cloud scoring engine for next gen predictive analytics.

A few weeks back, I was working with the ADAPA engine on a consulting gig, and Ron Ramos, the head of sales mentioned that though they have extensive documentation, they were planning a video tutorial as well on You Tube.

Beats a pdf everytime , doesn’t it !!!

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I wonder why companies continue to spend huge and I mean huge amounts on white papers and PDF’s when they can have much better customer support using a bit of audio, video…


Here is a great video tutorial on You Tube by Zementis, creator of ADAPA,the cloud scoring engine for next gen predictive analytics.

A few weeks back, I was working with the ADAPA engine on a consulting gig, and Ron Ramos, the head of sales mentioned that though they have extensive documentation, they were planning a video tutorial as well on You Tube.

Beats a pdf everytime , doesn’t it !!!

I wonder why companies continue to spend huge and I mean huge amounts on white papers and PDF’s when they can have much better customer support using a bit of audio, video and even twitter support.

Surprisingly true even for companies working at the cutting edge with other technologies.And the essentially free availability of these tools.

I mean if companies can spend huge amounts for predictive solutions for the big big datasets , why cant they offer some solutions or apps for the web and social media- An exception is KXEN of course with a new Social Network Analysis Module here ).

Imagine a future –

Example –

  • Hello SAS , My code wont run blah blah blah…

SAS Support on Twitter..okay do this

or

  • Hello SPSS, Where Can I find some stuff on Python because I got lost on the website
  • SPSS Support on Skype/Twitter- Dude , do this , click this link !

It is much better than endless rounds of email, aggravation and the list server method is well – the users should try and test www.twitter.com for user groups )

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