Week 3 H

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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 Question:

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.

Discussion :

Create a discussion thread (with your name) and answer the following question:
Discussion (Chapter 3): Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
Note: The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion.  Please engage early and often.
Your response should be 250-300 words.  Respond to two postings provided by your classmates.
There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post.  Do not use direct quotes, rather rephrase the author's words and continue to use in-text citations

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