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MIS 690 All Weeks Discussions GCU
MIS 690 Topic 1 DQ 1
As an
analytics manager, how can you address business problems in your industry using
analytics and, given reports from other department heads, how will you
determine the issue that could be addressed by your department?
MIS 690 Topic 1 DQ 2
Describe the
process you used to define the scope of business and analytics problems,
including any challenges or opportunities you encountered in the process, and
provide sources.
MIS 690 Topic 2 DQ 1
Review the
study material, “Big Data Ethics: 8 Key Facts to Ponder.” 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.
MIS 690 Topic 2 DQ 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 (e.g., confidential data,
personal data, or personnel data)?
MIS 690 Topic 3 DQ 1
Reflect on
collection of data, data cleansing and preparation activities, and selection
and application of models, including challenges/struggles, procedures,
approach, etc. How do you know that the data you are collecting will be
useful?
MIS 690 Topic 3 DQ 2
When
summarizing your data, how did you decide which visualization tool you would
use to best communicate this information (bar graph or line graph)?
MIS 690 Topic 4 DQ 1
What are the
general steps taken to build an analytics model? Please provide examples.
MIS 690 Topic 4 DQ 2
When
building a model, how do you know if it is the correct one? Are you able to
trust the model that you built in order to apply the data correctly to solve a
company’s problem?
MIS 690 Topic 5 DQ 1
Under what
circumstances would your analytics model be unable to be validated?
MIS 690 Topic 5 DQ 2
How would
you refine your model if the validation process turned up unexpected results?
MIS 690 Topic 6 DQ 1
Before
adopting and implementing your prediction model, the generalizability of the
model needs to be assessed by an external validation. Discuss the strength
of your model and issues you might encounter in the external validation
process.
MIS 690 Topic 6 DQ 2
What changes
to your model would you entertain if all the external literature concludes
diametrically opposed recommendations from your modeling effort?
MIS 690 Topic 7 DQ 1
How are you
determining the stakeholders related to your analytics deployment? What kinds
of training needs should be addressed for these stakeholders?
MIS 690 Topic 7 DQ 2
How would you conduct the change management process for
your analytics deployment? Why is it important?
MIS 690 Topic 8 DQ 1
What is the
process that determines the optimal analytics solution to a problem that you
have identified? Is it easier to write a communication outline or just write
out your recommendations?
MIS 690 Topic 8 DQ 2
Reflect on how you have completed this project. Has
working on this capstone project taught you anything new or changed your idea
about the role of the analytics manager in the scope of your organization?
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