CIS HW

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Western Kentucky University *

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301

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Information Systems

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Dec 6, 2023

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Discussion Questions Our Genetic Data: A Doubled-edge Sword Should we be willing to sacrifice our privacy to solve crimes? In other words, does the end justify the means? I personally am okay with sacrificing my privacy to help solve crimes just because in my eyes I believe if I was to do 23andme or any of the DNA testing that I know that my DNA would be public to whomever at any point in time. So, I believe that it is smart for the FBI to use resources such as that to give them advantage on figuring out a certain cold case even if it might be invading someone privacy just because at the end of the day it might be serving justice to a serial killer. I think it is wise though that the U.S. Department of Justice has have certain guidelines such as they could only use it for serious crimes such as murder and rape and that that the investigators must have a search warrant to collect DNA samples from suspect’s relatives, but I also don’t think it’s wrong that a person is automatically opted in unless they opt out. You are a candidate for a position at a company. Discuss the positive and negative consequences of that company having access to your DNA results. The positive aspects of the company having access to my DNA results is that if there is ever an emergency, they will be able to gather information about my genes and be able to determine if I have certain health conditions. A negative consequence about a company having access to my DNA is that they can give that information to whomever they like without my knowledge technically. Would you be willing to have your DNA results made available to law enforcement agencies to help in solving a criminal case? Why or why not? Support your answer. I personally will not mind having my DNA results made available to law enforcement agencies if it helps solve a criminal case because how I see it is I have nothing to hide and I have done nothing wrong so if my DNA somehow helps law enforcements because someone in my family has committed a crime, I will obviously do the right thing and help. I mean even in the reading the police were able to arrest and close two cold cases due to these DNA test. However, I do understand why some might not want their DNA accessibility to law enforcement because things can always get twisted and pinned on innocent people and some people just don’t want that possibility which I totally understand. IT’s About Business 5.1 What to do with all that Data? (look ahead to Section 5.2 for the definitions of structured and unstructured data)
Provide examples of structured data that Enigma collects and analyzes. (Structured data highly organized in fixed fields in a data repository such as a relational database that must be defined in terms of field name and type (e.g., alphanumeric, numeric, and currency) A few examples of structured data that Enigma collects and analyzes is it helps banks accurately identify the best candidates for business loans, integrates property tax filing data with state business filing and Enigma works with the data collect at voter registration in the U.S., to help set companies in the consumer packages goods industry place products such as drinks and soups on recommendations to start based off where people live, their driving distance from the businesses and many other data points. Provide examples of unstructured data that Enigma collects and analyzes. (Unstructured data do not reside in a traditional relational database) An example of an unstructured data is that Enigma data and insights helps to improve drug safety and collects data on every molecule used by the U.S. pharmaceutical industry as well as all drugs’ trails, patent filing and adverse events. They also collect data from the CBP’s Automated Manifest system to track every container ship arriving in the United States, including the importer and the ships port of call. IT’s About Business 5.2 – Data Lakes Discuss the advantages and disadvantages of enterprise data warehouses. Enterprise data warehouses contain data from other enterprise systems such as customer relationship management, inventory, and sales transaction systems, with enterprise data warehouse organizations maintain the data using traditional databases, which are the primary mechanism in many organizations for performing analytics, reporting, and operations. Though enterprise data warehouse has quite a few advantages it also has a few disadvantages that it requires organizations to design the data model before they can load any data into the enterprise data warehouse. Another disadvantage is the enterprise data warehouse is relatively inflexible and can answer only a limited number of questions and can be difficult for it to manage new sources of data, such as streaming data from sensors, social media data such blogs and more and lastly It is too rigid to be effective with big data, it just cannot meet all the business needs. Describe the advantages and disadvantages of data lakes.
Organizations do not need to transform data before entering them into the data lake as they would for the enterprise. The structure of the data is unknown when the data is being fed into the data lake, so the data is than discovers when the data is read, meaning the user cannot model the data until they use it. Which makes the overall process more flexible, and easier for the user to discover new data and to enter new data sources. Organizations have unlimited types of data, no limits on how they can query the data and do not create data silos, instead provide a single, unified view of data across the organization. Data lakes are for variables that are not clear from the outset and will probably include unstructured data while enterprise data warehouse is used for more structured data or used for decision making which data lakes would not be good for. Why don’t organizations use enterprise data warehouses for managing Big Data? Organizations do not use enterprise data warehouses for managing big data because it cannot handle large sums of data unlike the data lakes as well as the machine would go into overloud with all that complex data and if it was to be asked an extreme complex question unlike the data lakes. Organization uses enterprise data warehouses for their most useful data that will help them make decisions and they attract the most important data from the data lakes and insert into the enterprise data warehouse once they are ready. Closing Case- The Democratic Party Upgrades its Data Repository and Its Data Are the data contained in the Data Warehouse Big Data? Provide specific examples to support your answer. The data contained in the data warehouse is big data because it is data of voter’s names, phone numbers and addresses that also has their phone numbers and emails so that the campaign people would be able to advertise to those people from both form of contact and reach voters in areas they needed at the time of the election. These data tools held a lot of data that made it easier for the staff campaign to advertise or reach out to voters rather the voters were wanting information of the campaign or not. The data also contained voters who have not voted in a while or have never voted with their information to help gain new voters. Are the data contained in the Data Warehouse structured? Provide specific examples to support your answer. The data contained in the Data Warehouse is structured, as they example the Blueprint tool of how it helps the campaign decide whom to call, text, e-mail, and target with digital advertisement gives a very structured data collection. The data collected allowed campaign workers level access to voters’ data such as their addresses, ethnicity and voting history in a specific area which would allow them to construct a certain advertising base if needed. For
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example, if they needed more votes in more region or area, they were able to access that due to the data gathered. Describe another application that the Democratic Party could develop for the Data Warehouse. A new application that the democratic party could develop is where it would send text or email to regions that they are lacking a vote in or to certain people that usually vote for the democratic party or vice versa. They should be able to insert into the data to send text to 10,000 people in this region that are between the age of 18 and 45 that have voted democratic or republican and the application should send email and text to those 10,000 people without any complications of invalid email or unworking number.