Description
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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