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Selecting a Big-Data Supplier Is Challenging
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Re: Share please
  • 4/26/2013 12:24:40 PM
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@Brian27 -- I'd been hoping to catch that webinar myself yesterday but ended up not being able to make it afterall. I'm glad to hear it was well worth the time, so now I know I should listen in to the on-demand version! I always like to hear what enterprise folks are saying/thinking, and thought Chad Schumacher with Kellogg's might have some interesting insight to share.

Re: Share please
  • 4/26/2013 8:30:11 AM
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I had a chance to catch an SAS webinar yesterday (4/25/13), on leveraging SAP data.  I'm in no way an ERP expert; my interest was in how organizations would leverage the vast quantities of operational data generated by ERP systems, for predictive analysis. 

I have no reason to favor SAS over other vendors, other than my impression from their webinars, and posts here by people working for SAS - and that impression is quite favorable.  In most cases, what they say indicates to me that they get that data isn't a commodity or a currency; that context and maintenance from initial collection to qualifying the inferences drawn, are at least as important as volume capacity and enlightening display.  

I don't know if the on-demand of yesterday's webinar  includes the Q&A at the end; but if so, listen to the well considered answer they provided to my question about data concerns not related to data size.  While it didn't hit on every point I had in mind; the quality of the reply showed me that data relevance, quality and integrity considerations are first class citizens in their approach. 

Re: Share please
  • 4/25/2013 2:41:42 PM
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Hi Jeff, I recently talked with Tony Jewitt, a big-data solutions expert with big-data consulting firm Avalon Consulting, about what's driving organizations to move from first-generation BI systems to second-generation BI approaches and, beyond that, into the world of Hadoop. Unquestionably, speed and cost are the prime drivers, he said. I shared some of that conversation in today's post, Big-Data Insider Sees 3 Ongoing Trends

Re: Share please
  • 4/25/2013 12:54:31 PM
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Do we really need this?  Why?

Will it be cheaper than upgrading our current system?  What about in 3 years?

Will it be faster?  How much faster?  How does the speed change the systems around our current system, can we get rid of anything?

How fast can everything be pushed into graphs?  How easy is it to visualize in this tool?  

Re: Share please
  • 4/23/2013 11:56:25 PM
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What questions should an enterprise ask about any potential big-data solution?

Re: Share please
  • 4/23/2013 7:42:29 PM
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I attended a talk from a former co-worker who now works at The Cleveland Clinic.  They implemented a big data system on Hadoop and thier reasons were strictly cost based.  They claimed they could run the system on commodity hardware for a fraction of the cost of high end systems.  Hadoop, like many web software, is Open Source.  I always wonder about these implementations though, I did a LAMP system, Linux web solution for a former employer.  But we ended up paying consultants more than if we had bought commercial software and did the work.  

So Hadoop looks simple, but...

 

Re: Share please
  • 4/23/2013 3:00:56 PM
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What is on everyone's wish list? What would you most like your big- data solution to do?

Re: Share please
  • 4/23/2013 12:28:54 PM
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Recently, a friend of mine working at ecobank.com told me that the organization is considering using SAS for portfolio management and risk analytics. SAS is surely one the most used satatiscal and and ananytical package in the enterprise. 

Share please
  • 4/23/2013 10:24:42 AM
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Any stories to share on selecting a big-data supplier?



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