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Discussion:
1. How do you describe the importance of 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.
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.
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