IBM's Predictions: 6 Big Data Trends In 2014 - InformationWeek

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Data Management // Big Data Analytics

IBM's Predictions: 6 Big Data Trends In 2014

A big data expert shares predictions based on feedback from IBM's enterprise clients. Is it time to update your strategy?

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asmatali
50%
50%
asmatali,
 User Rank: Apprentice
1/28/2014 | 12:02:41 PM
Outside data is as important as inside data
Indeed, outside data is as important as inside data. However, the challange ahead is to integrate both data.
ginamd
50%
50%
ginamd,
 User Rank: Apprentice
1/16/2014 | 1:48:15 PM
Decision making and Analytics
The shift from gut based decision making to analytics based decisions is a major cultural shift for  executives who do not have a full appreciation of how many of their business decisions are influenced by emotional factors or who don't regularly engaged in a disciplined rational analysis of their options.  There also needs to be an openess to what analytics reveal since the opportunity to include unstructured data will provide new insights that may be counter to their intuition. As well, the frequency of business decision may increase as the impacts of decisions or trends in the market  are revealed in real time versus monthly or quarterly reporting cycles. This may require exploring a new  balance between sticking with the plan and being responsive
Susan Fourtané
50%
50%
Susan Fourtané,
 User Rank: Author
1/14/2014 | 5:26:46 PM
Re: CDO vs. CIO
Cecilia, 

Yes, that's how I see it. As a complement. :) 

-Susan 
Ceciliamarquez
50%
50%
Ceciliamarquez,
 User Rank: Apprentice
1/14/2014 | 4:10:52 PM
Re: CDO vs. CIO
I share the idea of Susan, support a CDO can provide decision-making is also the complement of the current CIO IT, because this latter task should be focused on the research and implementation of new technologies to support the business, but the function is the CDO interpretración the fact that through technology can process better and faster. Definitely complement.

Cecilia M.

 
RobPreston
50%
50%
RobPreston,
 User Rank: Author
1/2/2014 | 9:37:32 AM
Re: CDO vs. CIO
I see one captain: the CIO. The CDO title won't survive. The CDO's role is clearly the modern CIO's role. 
Susan Fourtané
50%
50%
Susan Fourtané,
 User Rank: Author
12/26/2013 | 1:55:09 AM
Re: CDO vs. CIO
Laurianne, 

"This CDO vs. CIO rivalry does not look to go away anytime soon."

Why do you see the CDO as rival of the CIO? The IT departments are getting overloaded these days with all the different technologies the enterprises are deploying. Having a data scientist's voice in the boardroom aliviates all the responsibility many CIOs have today.

More than rivals I believe they should be seen as two captains sailing the same huge boat, where only one captain in not enough anymore. 

-Susan 
J_Brandt
50%
50%
J_Brandt,
 User Rank: Ninja
12/24/2013 | 10:06:16 AM
Security
Something had better change in security.  The current models have been out striped, outpaced and out flanked by mobile and the Internet of Things is only going to make it worse.  The is one of the pitfalls of consumer tech over enterprise tech.  Enterprise usually has their ducks in a  row before they deploy.  Consumer tech/tech du jour, races ahead of any consideration of procedure, process, or impact.  Improved security will help enhance privacy, but I fear that may be a lost cause.
Laurianne
50%
50%
Laurianne,
 User Rank: Author
12/19/2013 | 10:02:50 AM
CDO vs. CIO
This CDO vs. CIO rivalry does not look to go away anytime soon. Interesting that IBM sees it in the field as well. Readers, is your IT organization feeling power shift away from the CIO and to the CDO -- or is your company looking to add a CDO in 2014?
samicksha
50%
50%
samicksha,
 User Rank: Strategist
12/19/2013 | 4:30:21 AM
Re: Big data security?
One of the trend, i see around me is Smarter big data apps, we have been discussing about such kind of applications, but there is still no clarity on what exactly we expect these applications to do for us.
David F. Carr
100%
0%
David F. Carr,
 User Rank: Author
12/18/2013 | 10:01:42 PM
Big data security?
How is big data security different from regular old security?
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