Data mining is important in todays business world due to the fact of the sheer size of data thats available and collected. Data warehousing and Data Mining has gained improved popularity in multiple areas of business to analyze the large databases quickly which would be too complex and time consuming (Joseph, 2013). Data mining is applicable in the government, finance markets, banks, marketing, manufacturing, and medicine. All of these aspects of business need information that is timely, reliable, and accurate.it facilitates sustained success. Furthermore, data mining assist business leaders in making decisions about the future based off historical data that is correlated.Data mining in the government is the one application I selected serving in the United States Army. This topic is being used by the Department of Homeland Security for many reasons. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets (Seifert, 2007). With the world becoming digital fraud is a very real and relevant topic. It can be seen on the news almost nightly were there are data breaches within the business world and peoples information is being stolen. The information being stolen can be used to commit fraud on a very large spectrum. By the Department of Homeland Security having access to data mining resources they can be more preemptive to mitigate the risk of fraud. When I look at assessing risk this department of government can protect the nation by quickly analyzing the data produced by data mining to prevent terrorist attacks. Additionally, it allows the government to assess threats from other foreign governments that wish to cause harm to the U.S. When used correctly I believe that attacks on the U.S. either from foreign governments or terrorist can be prevented. More so than prevention it allows the U.S. to be more proactive taking actions against the enemies of the government.ReferencesJoseph, M. V. (2013, March). Significance of Data Warehousing and Data Mining in Business Applications [PDF]. International Journal of Soft Computing and Engineering (IJSCE).Seifert, J. W. (2007, January 18). Data Mining and Homeland Security: An Overview. Retrieved March 05, 2019, from https://fas.org/sgp/crs/intel/RL31798.pdf