Big Data Success Remains Elusive: Study - InformationWeek

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Data Management // Big Data Analytics
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2/2/2015
09:40 AM
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Big Data Success Remains Elusive: Study

Just over a quarter of organizations say their big data initiatives are a success, according to a recent Capgemini study. So why are three of four unsuccessful?

(Image: DARPA)
(Image: DARPA)

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pfretty
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pfretty,
User Rank: Ninja
2/4/2015 | 11:50:05 AM
Slowly maturing
There is a good reason why success is eluding organizations.  There needs to be a little more devotion to building the data maturity level.  According to a recent IDG survey, organizations do not rate themselves as highly effective in any of the critical big data tasks. For instance, only 11 percent say their organizations are extremely capable at knowing which questions to ask.  Likewise, only 5 percent see their organizations as effective at disseminating insights across the organization. When you couple this with businesses trying for the big wins immediately, you are bound to see disappointment. Bottomline, businesses need to start small, build confidence and ability with experience. 

 

Peter Fretty, IDG blogger working on behalf of SAS
_cazena
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_cazena,
User Rank: Apprentice
2/3/2015 | 10:51:00 AM
an accurate summation of the state of big data in the enterprise
Great stuff! The article and survey are consistent with what we see at Cazena. Enterprise business leaders see the promise of big data to transform the speed and quality of their decision-making, but struggle with the complexity of the new technologies and other practical matters that so far keep big data mostly on the fringes of true production-level success. As is pointed out, this is a natural phase of growth that we'll get through if we keep our eye on the prize!
Li Tan
50%
50%
Li Tan,
User Rank: Ninja
2/3/2015 | 2:30:22 AM
Re: Data science
I do agree with you. Big data is not something that can be handled well by pure technician. You need to understand the real business need behind to dig out valuable information from existing data mine.
danielcawrey
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50%
danielcawrey,
User Rank: Ninja
2/2/2015 | 9:33:31 PM
Data science
I think that the data science aspect of this is really important – companies that use an actual data scientist who knows what to do with data is really important I think. 

Big data is not just another facet of technology. You need the right people looking at the data in order to gain insight into what it all really means. 
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