October 3, 2012
Agencies should appoint a single official to explore how new methods of data mining could enhance their mission and save costs, perhaps following the Federal Communications Commission’s model of a chief data officer, an industry group recommended Wednesday.
Officials also should consider appointing a federal chief data officer to assess the use of big data governmentwide, according to the report from the TechAmerica Foundation.
In addition, the data officer should examine barriers to big data analysis in government, such as overly complex regulations related to data privacy, the report’s authors said. This process should be aimed at developing uniform and understandable privacy regulations across government agencies not at lowering overall privacy protections, members of TechAmerica’s Federal Big Data Commission said when they introduced the report.
The commissioners also urged the Office of Management and Budget to create a formal career track focused on data analysis for information technology managers.
Big data analysis refers broadly to new computer systems that can collect, analyze and spot patterns in much larger collections of data than machines could process a decade ago. These systems usually link multiple machines inside a computer cloud and coordinate them to work as a single device tackling a single problem.
Government agencies have been using big data analytics, mostly aimed at spotting common fraud patterns, for several years to avoid issuing Medicare and tax payments to fraudsters. Technology leaders have speculated the government ultimately will rely heavily on big data to better target grant funds and deliver services.
Among the greatest barriers to wider adoption of big data in government are low data quality, such as spreadsheets riddled with typos and inconsistent naming conventions; poor information sharing between federal agencies; and too few employees capable of effectively analyzing vast amounts of data from disparate sources, commissioners said.
TechAmerica’s report also urged the government to partner with universities to encourage more students to develop data analysis skills and to organize federal internships for new data scientists to lure them into public service.
Once big data analysis systems are up and running, commissioners said, agencies are likely to recoup their upfront investments by limiting fraud and making programs more efficient.
“Waste, fraud and abuse is a big challenge,” said Steve Mills, senior vice president at IBM and co-chairman of the commission. “With the size of the federal government, you’re talking about hundreds and hundreds of millions of dollars annually across a whole range of activities. That can be retrieved and put to better use for those who are more deserving.”
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October 3, 2012