wk3_Ass3

Ass3

Assignment:

1.How do you describe the importance of the data in analytics? Can we think of analytics without data? Explain.

2. Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?

3. Where do the data for business analytics come from? What are the sources and the nature of those incoming data?

4. What are the most common metrics that make for analytics-ready data?

Exercise 12:

Go to data.gov—a U.S. government-sponsored data portal that has a very large number of data sets on a wide variety of topics ranging from healthcare to education, climate to public safety. Pick a topic that you are most passionate about. Go through the topic-specific information and explanation provided on the site. Explore the possibilities of downloading the data and use your favorite data visualization tool to create your own meaningful information and visualizations.

· When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.

· All work must be original (not copied from any source).

· Make sure no plagiarism

Welcome to ITS-531 – Business Intelligence
Week 3

Residency
Don’t forget our residency session is scheduled for September 25th – 27th.
As these dates approach, please review the information about residency published in the week 1 announcement.

Announcements
Look at the Announcements often
Please make sure you are reviewing the discussion boards and assignments carefully
Look for Live Chat PowerPoint Slides and other important files
Refer to course contents and materials for critical information
Discussion boards

APA for Academic Writing
Please apply scholarly / academic writing principles when you are responding to your discussion boards and assignments
It’s very critical to utilize intext citations and respective references accordingly
Any work that is not yours within your posts or assignments paper that is not yours must be referenced accordingly.

Chapter 3
Nature of Data, Statistical Modelling and Visualization
 
ITS 531: Business Intelligence

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