Big Data Predictions For 2016 - InformationWeek

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1/4/2016
07:06 AM
Jessica Davis
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Big Data Predictions For 2016

What's in store for big data in 2016? Expect updates in machine learning, real-time data-as-a-service, algorithm markets, Spark, and more.
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1. Rise Of The Chief Data Officer
As enterprises grapple with the onslaught of changes and the need for a real strategy in the wake of digital-native competitors, more will put weight and effort into titles such as chief data officer (CDO). Somebody needs to drive the strategy. 
'Chief data officers will gain power, prestige, and presence … for now,' wrote Brian Hopkins, VP and principal analyst for enterprise architecture at Forrester Research,  in a blog post. 'But the long term viability of the role is unclear. Certain types of businesses, like digital natives, won't benefit from appointing a CDO.' 
(Image: Yuri_Arcurs/iStockphoto)

1. Rise Of The Chief Data Officer

As enterprises grapple with the onslaught of changes and the need for a real strategy in the wake of digital-native competitors, more will put weight and effort into titles such as chief data officer (CDO). Somebody needs to drive the strategy.

"Chief data officers will gain power, prestige, and presence … for now," wrote Brian Hopkins, VP and principal analyst for enterprise architecture at Forrester Research, in a blog post. "But the long term viability of the role is unclear. Certain types of businesses, like digital natives, won't benefit from appointing a CDO."

(Image: Yuri_Arcurs/iStockphoto)

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pfretty494
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pfretty494,
User Rank: Moderator
1/13/2016 | 8:48:26 AM
Self service
I think the biggest trend for 2016 will be the move towards self service. We are finally seeing a level of maturity needed for big data to progress. It's going to take self service - and open exploration - for this tool to take the next evolutionary step. Peter Fretty, IDG blogger for SAS
soozyg
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soozyg,
User Rank: Ninja
1/4/2016 | 11:27:06 AM
example companies
digital transformations and pure-play startups disrupting established industries -- Uber is the example everyone mentions first

--Interesting. Just before the dotcom bubble burst decades ago, Peadpod was the example. Their bubble burst, they reinvented themselves, and now they are successful with multiple competitors.
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