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Article type: Research Article
Authors: Krishnamurthy, Rashmia | Desouza, Kevin C.b; *
Affiliations: [a] School of Public Affairs, Arizona State University, Phoenix, AZ, USA | [b] College of Public Programs, Arizona State University, Phoenix, AZ, USA
Correspondence: [*] Corresponding author: Kevin C. Desouza, School of Public Affairs, Associate Dean for Research, College of Public Programs, Interim Director, Decision Theater, Office of Knowledge Enterprise Development, Arizona State University, 411 N. Central Ave. Mail Code 3520, Suite #750, Phoenix, AZ 85004-0685, USA. Tel.: + 1 206 859 0091; E-mail: kev.desouza@gmail.com
Abstract: Public agencies are investing significant resources in big data analytics to mine valuable information, predict future outcomes, and make data-driven decisions. In order to foster a strong understanding of the opportunities and challenges associated with the adoption of big data analytics in the public sphere, we analyze various efforts undertaken by the United States Social Security Administration (SSA). The SSA, which is commonly referred to as the "face of the government", collects, manages, and curates large volumes of data to provide Social Security services to US citizens and beneficiaries living abroad. The agency has made great strides in the burgeoning big data space to improve administration and delivery of services. This has included: (1) improving its arcane legacy system, (2) developing employee and end-user capability, (3) implementing data management strategies and organizational architecture, (4) managing security and privacy issues, and (5) advocating for increased investment in big data analytics. Despite these efforts, the SSA is still in the early stages of developing capability in the domain of big data analytics. By outlining challenges and opportunities facing the SSA, we discuss policy implications and explore issues to consider when public agencies begin to develop their capacity to analyze big data.
Keywords: Big data, social security administration, data governance, innovation, information technologies, information systems, transparency
DOI: 10.3233/IP-140337
Journal: Information Polity, vol. 19, no. 3-4, pp. 165-178, 2014
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