MIS690 Wk 3 Big Data Ethics: 8 Key Facts To Ponder Discussion Questions

Anonymous
timer Asked: Feb 3rd, 2019
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Question Description

1. Review the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you can apply a Christian worldview when accessing, collecting, and analyzing data within a business setting. Include discussion of why awareness and understanding of ethical issues is an important part of being a data analytics professional. Support your ideas with relevant industry examples.

Read "Big Data Ethics: 8 Key Facts to Ponder," by Morgan, from Information Week (2015).

https://www.informationweek.com/big-data/big-data-...


2. How did you determine the data timeframe to review? Why did you select the data that you used for your analytics project? Why did you exclude other data? What barriers can you come up against when trying to obtain data (i.e., confidential data, personal data, or personnel data)?

**The Data that we choose for our project is attached below so you can better answer question 2. Thanks!




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Tutor Answer

Audytutor92
School: New York University

Howdy!I've got everything typed for you in the document attached below. An outline has been provide to guide you on how the document is organized. Kindly reach out for any edits or clarifications whatsoever!Cheers!!

1

OUTLINE: Week 3 Discussion Questions
The document is organized as follows.
Ethical Issues in Data Science: This sections attemtps to answer the first prompt. i.e. (1. Review
the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you
can apply a Christian worldview when accessing, collecting, and analyzing data within a
business setting. Include discussion of why awareness and understanding of ethical issues is an
important part of being a data analytics professional. Support your ideas with relevant industry
examples.)
Selecting data: This section answers the following prompt: (2.How did you determine the data
timeframe to review? Why did you select the data that you used for your analytics project? Why
did you exclude other data? What barriers can you come up against when trying to obtain...

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Anonymous
Thanks, good work

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