Please help me with the following question and i am very much appreciated if you
ID: 3605429 • Letter: P
Question
Please help me with the following question and i am very much appreciated if you help me. make sure the argument is well prepared and essay is standard.
Focus on understanding the meaning and interaction of the "key factors" (Access, Accuracy, Minimization, Transparency, and Consent).
Browse the Internet for an article describing a Big Data use case. The article should not be about Big Data; it should be about a company, government, or other organization's use of Big Data to accomplish something.
Consider how the "key factors" from Big Data for All apply to the use case you find.
Write a 2-page, single spaced essay, with a strong thesis (argument) about any privacy concerns with the use case, a summary of the use case, an analysis of how application of the "key factors" lead you to your thesis statement.
Explanation / Answer
Here are six use cases for the public sector that take advantage of disparate data sets and multiple applications:
1. Weather patterns: The National Weather service collects terabytes of data from sensors around the globe. The Joint Polar Satellite System (JPSS) monitors environmental conditions and the JPSS Common Ground System draws data from sensors and satellites. These data are openly available and can be used in different ways. Scientists can use these data in order to understand global warming, while government agencies may be looking for trends that help them with disaster preparedness for floods and hurricanes. The same data also can be used for long-term crop forecasts and to predict water demand. It’s all a matter of determining the necessary use case.
2. Social services: Publicly stored data are increasingly being used by service agencies in order to improve operating efficiencies and reduce fraud. For example, social services are finding new ways to apply public records such as tax data, welfare claims, and public assistance statistics in order to collect more revenue, reduce operating costs, and reduce claim adjudication times while ensuring citizens receive the benefits due them. For example, in North Carolina, IBM was able to uncover millions of dollars in Medicaid fraud by assimilating insurance data, reviewing healthcare records, and identifying records in order to look for patterns that indicated falsified claims.
3. Regulatory compliance: Government regulators can apply big data analytics in order to assess compliance. For example, the Environmental Protection Agency maintains a central database of 800,000 regulated facilities, which it calls ECHO. The ECHO database provides integrated compliance and enforcement data, including a history of compliance. The data can be used by different types of agencies in order to assess compliance.
4. Health services: Using data compiled from hospitals, accident reports, disease center reports, and social services case files, government agencies can assess healthcare needs. Geographic statistics can be mapped to socioeconomic data in order to determine where there might be greater need for medical or social services, ambulance and emergency services, and other types of health services. Cross-tabulating medical and environmental data also points to potential environmental hazards, medical trends, or health risks related to regional conditions. The Centers for Disease Control and Prevention also uses big data on a routine basis in order to predict flu outbreaks and track disease patterns.
5. Law enforcement: Analyzing crime trends and statistical data is having a huge impact on law enforcement. In Durham, North Carolina, for example, the police department was able to reduce crime in a two-square-mile area by 50 percent by assessing relationships between people, places, and other factors, making the department more efficient. Correlating census data and community records can make the police department more efficient. For example, cross-referencing zoning applications for liquor licenses, new construction sites that may be theft targets, and the opening of new retail centers makes it easier to assess manpower requirements and patrol routes.
6. The Department of Homeland Security: The federal government is using big data in order to combat terrorism. In 2012, the government launched two pilot programs, Neptune and Cerberus. Neptune is a data lake of unclassified information coded with data tags in order to control access and protect personal privacy. Cerberus is a data lake of classified information that has more stringent security. Taken together, the Department of Homeland Security is able to run analytics in order to identify threat patterns and predict potential sources of domestic terrorism.