MIS 600 Topic 1 DQ 2
Describe the role that big data plays in at least two industries. Provide the names of the specific companies as examples.
MIS 600 Topic 2 DQ 1
Why is data integrity important to the field of analytics? Compare at least two methods for data management that will prevent lapses in data integrity.
MIS 600 Topic 2 DQ 2
What are some best practices in the medical field for storing and managing data? Can the practices in the medical field be applied to other industries? Provide a rationale for your stance.
MIS 600 Topic 3 DQ 1
What is the difference between databases and data warehouses? Why is this distinction important? How much information do you think you are providing to the big data warehouses on a daily basis? Please provide some examples (e.g., Fry’s shopping card, Google searches, downloading apps, etc.).
MIS 600 Topic 3 DQ 2
After reading “The Field Guide to Data Science,” how you would describe the field of data science and what it means to current society? Also, provide at least two enlightening points from the guide. Be sure to cite the source in order to support your perspective.
MIS 600 Topic 4 DQ 1
What is the value of descriptive analytics as to the initial step in the process? Could this step occur later if necessary? Why or why not?
MIS 600 Topic 4 DQ 2
Describe the potential of predictive analytics, in theory, conveying a story with absolute certainty.
MIS 600 Topic 5 DQ 1
Why do you think requirements would be important to every request? How could incorrect or missing requirements affect the business?
MIS 600 Topic 5 DQ 2
Why is it important to correctly identify stakeholders? What could the impact be if a stakeholder was incorrectly identified or left out?
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