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Anonymous
timer Asked: Jul 4th, 2018
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due Jul 7

Too Intelligent?

There's an Ethics Guide in Chapter 9 called Unseen Cyberazzi that talks about data aggregators. They’re not the only companies that have a lot of information about us. Let’s talk about the questions that are posed at the end of the guide, with particular emphasis on the security and privacy issues.

Shawn Watching the video certainly gave me a better understanding of business intelligence systems. I did not know how business intelligence systems are currently used in the Army, so I did some research to see how they are applied in my job. Currently I work in an area in the Army that is responsible for ensuring that future Army vehicle and equipment contracts meet our capability needs. One of the Chief of Staff of the Army’s priorities is to streamline the acquisition process in regards to vehicle and equipment contracts. The Army has developed the Army Contracting Business Intelligence System (ACBIS) as a means to be reduce wasteful spending and speed up the acquisition process. Through the use of real time operational contract data the ACBIS has helped the Army make better procurement and contracting decisions (Miller, 2012.) The use of the ACBIS has also forced the Army to be more accountable with their spending of tax payer dollars.Through the ACBIS, congress now has access to the Army’s contacting data and can analyze their decision making process as well as approve future contracting decisions much quicker (Schwartz, 2016.) References: Miller, J. (2012, September) Army Contracting Command Easing the Burden on Contracting Officers. Retrieved from: https://federalnewsradio.com/ask-thecio/2012/09/army-contracting-command-easing-burden-on-contractingofficers/ Schwartz, M. (2016, January) Using Data to Improve Defense Acquisitions: Background, Analysis, and Questions for Congress. Retrieved from: https://fas.org/sgp/crs/natsec/R44329.pdf Linan zhao The video involves a discussion on Business Intelligence Systems (BI System). The BI expert correctly defines a BI system as an information system that provides useful information by analyzing vast amounts of data and identifying trends, relationships, and patterns (Pearson Education, Inc., 2016). The trends, relationships, and patterns help knowledge employees in making decisions. Although the BI expert works in a Pizza business, he correctly informs his conversation partner that the system can be utilized in other fields such as football. Organizations working in different industries are benefiting greatly from the use of BI systems. The systems use complicated mathematical models to generate vital information. Powerful BI systems can spot relationships that no one could have thought existed. The introduction of Database Management Systems (DBMS') enabled organizations to accumulate big data, and BI systems help utilize the data (Nedelcu, 2013). According to the BI expert, the role of the BI team is to acquire the needed data, analyze the data, and publish the results of the analysis. He explains that data comes from numerous sources. In the case of the Pizza business, the sources include sales, inventories, and data bought from third parties. Data is acquired for defined purposes. A business may purchase consumer data to understand what consumers need and work on satisfying the need (Pearson Education, Inc., 2016). Although very brief, the discussion gives an excellent introduction to what a BI system is and its purpose. References Nedelcu, B. (2013). Business intelligence systems. Database Systems Journal, 4(4), 12-20. Pearson Education, Inc. (2016). Smart Pearson Player. Retrieved from Rebecca Data Aggregation, Security, and Privacy Many companies serve as big data brokers, Acxiom being a primary example. Although consumers have issues with the security and privacy of their data, and although the industry has faced multiple investigations by the FTC, data brokerage firms continue to develop new avenues for quickly absorbing massive amounts of data. Though consumers can request to opt-out, personal data is not deleted but rather "suppressed" (https://www.quora.com (Links to an external site.)Links to an external site.). Further, consumers may acquiesce and sometimes even willingly provide information in trade for conveniences gained - think of online shopping, refilling presriptions by phone, and the like. But as explained by Makela (2016), consumers may have no understanding of the issues created by this collection of data. It is one thing to consider giving your information for a specified purpose, and quite another to realize your data may be collected for purposes that are not yet identified. For many, our information could be stored in the cloud longer than we are alive (Makela, 2016). Big data is characterized by volume, velocity, and variety which results in a continual transfer of data being collected simply because is it easy and legal to collect, often without regard for a particular current use or undefined future use. Consumers should at the very least be aware that any information they share for the sake of convenience may then be shared with other parties later for a variety of uses, some of which will not be defined until another company realizes an opportunity to at best use, and at worst, exploit the data. Companies like Acxiom may operate within the law, but the scope of their activities can be deeemd both unethical and an unnecessary violation of security and privacy. References Makela, C. (2016). Big Data: You are adding to . . . and using it. Journal of Family and Consumer Sciences, 108(2), 2326, http://dx.doi.org/10.14307/JFCS108.2.23 (Links to an external site.)Links to an external site. https://www.quora.com/How-does-Acxiom-get-data (Links to an external site.)Links to an external site. beth A data aggregator is a company that acquires and purchases consumer and other data from public records, retailer, Internet cookie vendors, social media trackers, and other sources and uses it to create business intelligence that it sells to companies and the government. There are currently four major data aggregators in the U.S.—Infogroup, Factual, Acxiom, and Localeze (Liles, 2017). Three are free for a business to update and verify their listings with Localeze charging a fee. Data aggregators push important contact information to various websites, including search engines like Google. On August 15, 2017, the U.S. Court of Appeals for the 9th Circuit released its latest opinion in the Spokeo Inc., v. Robins case, allowing Thomas Robins to sue Spokeo, possibly setting the stage for a second appeal to the Supreme Court (Matheson, 2017). The 9th Circuit opinion’s intensive focus on the specific facts alleged by Robins is the key take-away of the case. The court’s fact-specific approach signals its growing willingness to recognize the validity of intangible harms as actionable privacy violations. Its readiness to find a privacy harm even when the allegedly incorrect information is “complimentary” to the data subject is particularly telling. The article goes on to state that organizations that collect, analyze and provide personal data profiles for use by others are now on notice that errors in those reports – even those that to some may seem flattering for inconsequential – may be harmful to data subjects and create legal liability. This ruling should increase organizations’ responsibility to verify data accuracy, allow data subjects the opportunity to correct or repair inaccuracies, and evaluate the privacy consequences of using personal data for reporting. Works Cited Liles, J. (2017, April 5). What are Data Aggregators? A Look at How Local Business Data Gets Distributed Online. Advice Local. Retrieved July 3, 2018, from https://www.advicelocal.com/blog/data-aggregators-localbusiness/ (Links to an external site.)Links to an external site. Matheson, L. (2017, September 12). Spokeo ruling means even 'good' errors are bad. IAPP. Retrieved July 3, 2018, from https://iapp.org/news/a/spokeoruling-means-even-good-errors-are-bad/
Week 6 reflection http://mediaplayer.pearsoncmg.com/assets/mymislab-2016-intro_MIS-imis_2016_topic_07 Too Intelligent? There's an Ethics Guide in Chapter 9 called Unseen Cyberazzi that talks about data aggregators. They’re not the only companies that have a lot of information about us. Let’s talk about the questions that are posed at the end of the guide, with particular emphasis on the security and privacy issues.
Weekly Reflections – (Located in the Discussion Board Area) Students are required to make an entry in the Weekly Reflections thread in the Discussions area of Canvas. Students should write about the most important lessons they learned in the videos for Weeks 1,2,3,4,5,6, 7, 8 and their assigned text readings for Week 9. The reflections should discuss the most important concepts presented and and how you might apply these concepts in your present or future job situations. The reflection is expected to assist you in actively internalizing the concepts you have learned and thinking about future application in managing information systems. This weekly entry should be a minimum of 200 words and be substantive and should cite a minimum of one reference. You should also respond to one of your classmate's posts by the Saturday due date with a minimum of 50 words. This is a total of 2 posts required each week. • • • • First watch the posted video for the chapter Post a minimum 200-word reflection by Thursday night Cite at least one reference that supports the thoughts in your reflection Respond with a minimum 50-word post to a classmate’s reflection by the Saturday deadline Note that no makeup work or credit will be given for missed discussions or reflections for any reason since this is a participation grade and must be current to be of use in assessing students’ progress.

Tutor Answer

peachblack
School: Purdue University

Please find attached.

Outline

Introduction
Body
Conclusion
References


Running head: RESPONSE TO BETH

Response to Beth
Name
Course Number
State, University
Instructor
Date

RESPONSE TO BETH
2

I consent to the fact that data aggregator is used to referring to a corporation that obtains
data from the retail and public records. The data obtained is further used to incept business
intelligence systems that are further sold to other corporations (Liles, 2017). However, it is vital
for the corporations to ensure that the records obtained are accurate and the information passed is
genuine.

RESPONSE TO BETH
3

References
Liles, J. (2017, April 5). What are Data Aggregators? A Look at How Local Business Data Gets
Distributed Online. Advice Local. Retrieved July 3, 2018,
from https://www.advicelocal.com/blog/data-aggregators-local-business/ (Links to an
external site.)Links to an external site.


Running head: RESPONSE TO LINAN ZHAO

Response to Linan Zhao
Name
Course Number
State, University
Instructor
Date

RESPONSE TO LINAN ZHAO

2

I presume that a business intelligence system is a techn...

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Anonymous
Outstanding Job!!!!

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