Big Data’s Biggest Challenges

 
 
By Dennis McCafferty  |  Posted 05-30-2016 Email
 
 
 
 
 
 
 
 
 
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    Big Data’s Biggest Challenges
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    Big Data’s Biggest Challenges

    Few companies take full advantage of all the data that's made available to them, and most business users spend more time gathering data than analyzing it.
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    Proper Path
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    Proper Path

    94% of survey respondents said their company is "headed in the right direction" in leveraging big data efficiently.
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    Simple Sequence
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    Simple Sequence

    59% said unit leaders can easily access big data and use it to make business decisions quickly.
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    Additional Allocation
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    Additional Allocation

    81% said their organization's investment in big data resources will increase in the next five years.
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    Metric-Minded
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    Metric-Minded

    98% said their organization encourages employees to ground business decisions in data and evidence.
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    Underutilized Asset
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    Underutilized Asset

    Just 23% said employees are using at least three-quarters of available big data to make business decisions.
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    Waiting Game
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    Waiting Game

    37% said it takes at least a day to access big data sources for analysis.
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    Top Challenges: HR Factor
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    Top Challenges: HR Factor

    66% said finding and hiring skilled big data analytics talent is difficult.
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    Top Challenges: Stalled Support
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    Top Challenges: Stalled Support

    59% said the value of analytics is understood, but it isn't quantified or articulated adequately enough to secure buy-in.
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    Top Challenges: High Maintenance
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    Top Challenges: High Maintenance

    59% said their legacy data storage systems require too much processing to meet today's business needs.
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    Top Challenges: In the Dark
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    Top Challenges: In the Dark

    59% said "shadow analytics" leads to data governance problems.
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    Top Challenges: Time Challenged
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    Top Challenges: Time Challenged

    59% said business users spend more time gathering data than performing analytics.
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    Top Challenges: Analytical Oversight
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    Top Challenges: Analytical Oversight

    42% said ad hoc analysis is not widely used and valued in their organization.
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    BMOC
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    BMOC

    63% said the chief data officer will drive organizational effectiveness and competitive success at large companies.
 

While the vast majority of organizations are headed in the right direction in leveraging big data effectively, a number of challenges are keeping them from maximizing this resource, according to a recent survey from Attivio. On the positive side, most survey respondents say business unit leaders are easily accessing big data and using it to make quick decisions. They also expect increased investment into big data initiatives over the next five years. However, very few companies are taking full advantage of all of the data that's made available to them. Many users wait for at least a day to access big data sources for analysis, and most business users spend more time gathering data than analyzing it. And hirers are finding it difficult to recruit skilled data professionals. In addition, "shadow analytics" are leading to data governance problems, while legacy data storage systems require too much processing to meet modern business needs. An estimated 150 data pros and senior decision-makers took part in the research.

 
 
 
 
 
Dennis McCafferty is a freelance writer for Baseline Magazine.

 
 
 
 
 
 

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