How IT Can Get the Most Out of Big Data

 
 
By Dennis McCafferty  |  Posted 02-21-2017 Email
 
 
 
 
 
 
 
 
 
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    How IT Can Get the Most Out of Big Data
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    How IT Can Get the Most Out of Big Data

    Many companies view big data as a strategic—even game-changing—technology development, and they're looking for new ways to maximize the value of those efforts.
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    Major Player
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    Major Player

    66% of the global big data professionals surveyed view big data as strategic and/or game-changing, while just 19% consider it experimental.
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    Continued Focus
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    Continued Focus

    97% said their organization plans to do as much—or more—with big data over the next three months.
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    Leadership Assessment
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    Leadership Assessment

    57% of the respondents said the IT department is the primary driver for their big data projects, while 33% said business is the driver.
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    Cloud Is Key
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    Cloud Is Key

    53% said their company is using cloud solutions for big data deployments, and 27% of them house more than half of that data in the cloud.
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    Competitive Edge
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    Competitive Edge

    63% of organizations that deploy all their data in the cloud are receiving tangible value out of data efforts, but only 47% of businesses that don't deploy data in the cloud get tangible value.
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    Service Issue
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    Service Issue

    53% of the survey respondents said their company doesn't have self-service access to big data.
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    Self-Empowered
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    Self-Empowered

    57% of the respondents at organizations with self-service capabilities said they are achieving tangible value from big data, compared to 43% of those at businesses without self-service capabilities.
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    Winning Combination
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    Winning Combination

    75% said their company plans to use business intelligence tools as part of their big data plan—up from 69% who said that in 2015.
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    Enhancement Effort
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    Enhancement Effort

    40% of the respondents said their organization intends to use big data to augment existing enterprise data warehouse initiatives.
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    Top Big Data Value-Drivers
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    Top Big Data Value-Drivers

    Scaled-out use cases: 56%, Revenue generation: 53%, New applications: 49%, Cost savings: 40%
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    Biggest Big Data Concerns
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    Biggest Big Data Concerns

    Governance: 21%, Security: 12%, Accessibility: 4%
 

The majority of companies worldwide view big data as a strategic—even game-changing—technology development, and they're looking for new ways to maximize the value of those efforts, according to a recent survey from AtScale. The accompanying "2016 Big Data Maturity Survey" report states that the cloud plays a major role in big data's value for most organizations. In fact, findings reveal that companies that store all of their data in the cloud are reaping more business value out of that data than those that avoid the cloud entirely. In addition, too many businesses haven't launched self-servicing capabilities—another big data value driver. To continue to make progress, the IT organization will need to work with business leaders to overcome obstacles in the form of governance, security and accessibility issues. By doing that, IT will help their company prosper through better scaled-out use cases, increased revenue, new applications and greater cost savings. More than 2,550 global big data professionals took part in the research.

 
 
 
 
 
Dennis McCafferty is a freelance writer for Baseline Magazine.

 
 
 
 
 
 

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