Predictive Analytics Essay

Chapter 12 topics:

Discuss key items that should be included in an SLA.
Define predictive analytics and discuss how an IT manager might use such analytics.
Discuss how an IT manager might use load testing on a site.
Define and discuss vendor lock-in and identify steps a company should take to mitigate this risk.

Chapter 13 topics:

List and describe common system requirements one should consider before moving an application to the cloud.
Discuss why a company should consider using a consultant to oversee a cloud migration and list specific skills you would expect the consultant to have.
List and discuss resource utilization characteristics one should monitor for an application prior to moving the application to the cloud.
List possible training requirements for an SaaS solution integration, a PaaS application migration, and an IaaS application migration.

Task2:words:300
Create and post a graphic that illustrates your data visualization process/workflow. Detail and describe each step in your process/workflow procedure. Step 1: Create a data visual that explains your data visualization process/workflow (This graphic should illustrate the steps that you take when you develop data visualizations).Step 2: Summarize each step that you created/discussed in the graphic that you created for Step 1Your process can/may be different than what is outlined in the readings.REMEMBER: This discussion should have a “graphic” step 1 and a “description” step 2. If possible please put the graphic directly in the discussion instead of as an attachment. Do do this you can insert the picture directly into the discussion board.
Task3:words:300

Share with us a data representation that you completed recently. Post the actual visual so that your classmates are able to see your product.

You have to post the actual data representation or visual that you created. Your discussion will not be accepted without your data representation or visual.

REMEMBER: This discussion should have a “graphic, that you created” and ” addressing the questions below”.

Address each of the questions about the data representation or visual that you posted:

What does the visual represent?

What was its purpose?

Why did you compose the visual this way?

Who was your audience?

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