Feds Failing to Meet Big Data Challenges: Survey
The federal government realizes the importance of Big Data. The White House officially declared the storage and analysis of massive datasets a “big deal,” and various agencies have their own data plans in the works. But it still has a long road ahead if it wants to actually become widely proficient in data analytics, according to a new survey created by the Government Business Council and funded by consulting firm Booz Allen Hamilton. That survey, conducted between Jan. 22 and Feb. 1 of this year, asked 313 federal managers from 27 agencies about their Big Data implementations and strategies. (Roughly two-thirds of respondents were ranked anywhere from GS-11 to Senior Executive Service, or equivalent grade levels.) “Federal leadership has emphasized leveraging Big Data to enhance agency operations,” read the survey’s executive summary. “However, managers are undecided if agencies are taking the appropriate steps to do so.” Roughly 37 percent of those surveyed felt their agency was taking those steps; another 18 percent simply didn’t know if any such effort was underway. “Federal managers also show low levels of data proficiency, and feel the federal workforce is similarly ill-equipped to make use of Big Data,” the summary added. “Just 18 percent of managers feel they have full professional proficiency in understanding large data sets, while 54 percent feel their agency’s workforce does not have the technical skills to understand how to use Big Data.” Because of that, just over a third of survey respondents felt their agency was actually “leveraging” all the data collected in-house—much less than the 53 percent who felt their agency was unequal to that task. Around 47 percent of respondents either “disagreed” or “strongly disagreed” with the statement, “My department’s workforce has the technical skills to understand how to use Big Data.”