How Do You Describe the Importance of Data in Analytics Discussion Questions

need support to answer these questions from book Sharda, R., Delen, Dursun, and Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support. 11th Edition. By PEARSON Education. Inc. ISBN-13: 978-0-13-519201-6

Chapter 3 –discussion question #1 a) b) c) d) questing 2,question 3 a),b),c) and question 4 ( page no 190 for all questions) & exercise 12 page 191

Chapter 4 – discussion question #1 a),b),c) Q2,Q3,Q4,Q5 a,b (all questions in 247 page)-& exercise 1 248 page

 POST

Page 191 Chapter 3 – Exercise12. 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.Page 247Chapter 4 – discussion 1. Define data mining. Why are there many names and 

definitions for data mining?2. What are the main reasons for the recent popularity of 

data mining?3. Discuss what an organization should consider before 

making a decision to purchase data mining software.4. Distinguish data mining from other analytical tools and 

techniques.5. Discuss the main data mining methods. What are the 

fundamental differences among them?Page 248Chapter 4 – ExercisesTeradata University Network (TUN) and Other Hands-On 

Exercises1. Visit teradatauniversitynetwork.com. Identify case 

studies and white papers about data mining. Describe 

recent developments in the field of data mining and 

predictive modeling

POST

From Sharda, R., Delen, Dursun, and Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support. 11th Edition. By PEARSON Education. Inc. ISBN-13: 978-0-13-519201-6For chapter 3 discussion questions (page 190)Questions for Discussion1. 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?