Big Data Analytics: The Case of Social Security Administration

Information Policy, Vol. 19, pp. 165-178, 2014

17 Pages Posted: 3 Apr 2016

See all articles by Rashmi Krishnamurthy

Rashmi Krishnamurthy

Arizona State University

Kevin C. Desouza

University of Illinois at Chicago - Department of Information and Decision Sciences; Institute for Engaged Business Research

Date Written: May 17, 2014

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 their 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 faced the SSA, we discuss policy implications and explore issues to consider when public agencies begin to develop the capacity to analyze big data.

Keywords: Big Data, Social Security Administration, Data Governance, Innovation, Information Technologies, Information Systems, Transparency

JEL Classification: O33, O38

Suggested Citation

Krishnamurthy, Rashmi and Desouza, Kevin C., Big Data Analytics: The Case of Social Security Administration (May 17, 2014). Information Policy, Vol. 19, pp. 165-178, 2014, Available at SSRN: https://ssrn.com/abstract=2757871

Rashmi Krishnamurthy (Contact Author)

Arizona State University ( email )

Farmer Building 440G PO Box 872011
Tempe, AZ
United States

Kevin C. Desouza

University of Illinois at Chicago - Department of Information and Decision Sciences ( email )

University Hall, Room 2404, M/C 294
Chicago, IL 60607-7124
United States

Institute for Engaged Business Research ( email )

Slovak Academy of Sciences
Sancova 56
Chicago, IL 60608
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
238
Abstract Views
1,164
rank
182,573
PlumX Metrics