What Companies Must Do to Get Value From Big Data

By Dennis McCafferty
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    What Companies Must Do to Get Value From Big Data

    What Companies Must Do to Get Value From Big Data

    Many companies have numerous data silos, resulting in the lack of an enterprisewide analytics strategy, and employees often don't have the required data skills.

The vast majority of today's organizations are moving forward with big data projects, but they admit that they must make significant improvements in a number of critical areas to maximize the ROI of these initiatives, according to a recent survey from CompTIA. The resulting report, "Big Data Insights and Opportunities," indicates that smartphones, tablets, PCs and machine-to-machine (M2M) devices will generate 170 exabytes of data per month by 2019, up from 60 exabytes per month last year. But most business and IT professionals surveyed said their enterprise doesn't have employees with the required data skills needed to take full advantage of this opportunity. Another issue: A significant share of survey respondents said there are numerous data silos within their company, resulting in the lack of a comprehensive, enterprisewide analytics strategy. "The amount of data crossing the wires and airwaves is mind-boggling," said Seth Robinson, senior director of technology analysis for CompTIA. "So, while individual pieces of a holistic data solution may be improving, these individual pieces are not yet integrated in a way that drives ideal results. … Technology is a more powerful tool for every facet of the organization, and business lines are weighing in on technology matters as they use these tools to drive their objectives." More than 400 business and IT professionals took part in the research.

This article was originally published on 2016-02-10
Dennis McCafferty is a freelance writer for Baseline Magazine.
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