The resulting gap and limited overall awareness about big data are among the reasons relatively few state and local agencies are taking steps to harness and analyze big data sets, according to a study by MeriTalk, a government IT networking group. The report, sponsored by NetApp, is based on a survey of 150 state and local CIOs and IT managers.
The survey found that state and local IT pros are struggling to keep up with data demands. Just 59% of state and local agencies are analyzing the data they collect and less than half are using it to make strategic decisions. State and local agencies estimate that they have just 46% of the data storage and access, 42% of the computing power, and 35% of the personnel they need to successfully leverage big data.
In addition, 57% say their enterprise architecture is not able to support big data initiatives. One in three state and local agencies has a dataset that has grown too large to work with, given their capacity limitations, the study found.
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Complicating the data management picture is confusion over who owns data: 47% of survey respondents believed that IT departments own the data, while 31% said ownership belongs to the department that generated it.
It's not that officials don't see the potential for analyzing big datasets. Survey respondents cited the ability to improve overall agency efficiency (57%), increase the speed and accuracy of decisions (54%), and achieve a greater understanding of citizen needs and how to meet them (37%) as the top advantages of tapping into big data.
But the advantages aren't universally understood or appreciated. The study found that 44% of state and local agencies aren't discussing big data; and 39% are just beginning to learn about this technology.
And while 94% of respondents said their agency can benefit from big data, 79% estimate it will be at least three years before they are able to take full advantage of it.
In a report issued last year, the National Association of State Chief Information Officers advised its members to develop an enterprise architecture and data governance policies to maximize the potential of big data in their agencies.
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