Big Data Experts Discuss Transforming E-Government Services
The Center for Data Innovation recently hosted a panel discussion, 'How Big Data is Driving the Next Wave of E-Government Innovation'. Experts from various sectors shared insights on leveraging big data for public services.
Dean Silverman from the IRS highlighted the agency's use of big data to combat refund fraud. This initiative, which began in 20XX, has saved over $2 billion in three years. However, details about who registered for the meeting to serve as Senior Advisor for the Compliance Analytics Office remain unknown.
Ariel Gold praised recovery.gov as a successful open data and big data analytics project. Meanwhile, Eric Knutson pointed to the United Arab Emirates' plans for a single login system, demonstrating the global potential of e-government services.
Panelists agreed that addressing specific problems and collaborating with communities are key to effective big data projects in government. They also emphasized the importance of an iterative, collaborative, and agile approach to maximize benefits.
Budget constraints and the need for a 'test and learn' approach were identified as challenges in implementing new technologies. Taha Kass-Hout from the FDA discussed using big data to identify counterfeit drug ingredients, with 80% sourced outside the U.S. Peter Schmidt from Sitecore talked about using social media, health, and weather data to aid school closure decisions during flu outbreaks.
The panel discussion underscored the potential of big data in transforming e-government services. By addressing specific needs, collaborating with communities, and embracing iterative approaches, governments can overcome budget constraints and drive innovation.
