GCU MIS690 Discussions Latest (Full)

GCU MIS690 Discussions  

GCU MIS690 Week 1 Discussion

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?

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.  

 

GCU MIS690 Week 2 Discussion

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.

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)?

 

GCU MIS690 Week 3 Discussion

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?

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)?

 

GCU MIS690 Week 4 Discussion

DQ 1

What are the general steps taken to build an analytics model?  Please provide examples.

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?

 

GCU MIS690 Week 5 Discussion

DQ 1

Under what circumstances would your analytics model be unable to be validated?

DQ 2

How would you refine your model if the validation process turned up unexpected results?

 

GCU MIS690 Week 6 Discussion

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.

DQ 2

What changes to your model would you entertain if all the external literature concludes diametrically opposed recommendations from your modeling effort?

 

 

GCU MIS690 Week 7 Discussion

DQ 1

How are you determining the stakeholders related to your analytics deployment? What kinds of training needs should be addressed for these stakeholders?

DQ 2

How would you conduct the change management process for your analytics deployment? Why is it important?

 

GCU MIS690 Week 8 Discussion

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?

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?