Every day, government agencies process and disburse millions of benefit payments. These include, but are not limited to, social security, veteran aid, worker’s compensation, and federal pensions. Processing these payments is made more efficient with Big Data technology. Perhaps more importantly, government agencies are using Big Data software to analyze unstructured datasets in order to improve decision making capabilities and detect fraud before it occurs, which has the potential to save taxpayers millions. Distributing benefits to the millions of Americans who qualify for them, while detecting fraud is a monumental task. If successful, government agencies can help those in need of help while reducing costs. Big Data has the potential to greatly improve operational efficiency of government agencies.
Big Data technology is improving the decision-making capabilities of almost every government agency. For instance, predictive analytics are being used to improve national security, by identifying potential risks before they occur. The FDA is using similar Big Data tools to find patterns of foodborne illness, and limit the outbreak of deadly diseases. The National Institute of Health is using Big Data to fund biomedical research, in an attempt to improve the lives of every citizen and find cures of the deadliest of disease. Big Data is also being used to monitor key aspects of the economy, predict market fluctuations, and provide compliance transparency. With Big Data, government agencies are improving their decision-making. New technology is fueling innovation and discovery, monitoring security threats, and providing economic transparency.
Nearly every American deals with mass transportation on a daily basis. Government transportation agencies have begun to use Big Data to improve mass transit systems across the country. For instance, it is being used to predict the affect of road closings and construction. With this new insight, transportation agencies can schedule maintenance and construction at times when the least amount of citizens will be affected. Predictive analytics can show the potential reaction to an increase in fare pricing, or route change. By putting all of this information together, transportation agencies have the ability to provide the best possible mass transportation system to the most citizens.