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?
5. What are the most common metrics that make for analytics-ready data?
6. Go to data.gov. 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 7 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). Create a one MS word Document for all.