Reference no: EM132898595

Section 1

1. What is the difference between data, information, and knowledge?

2. Explain in your own words how the data component relates to the hardware and software components of information systems.

3. What is the difference between quantitative data and qualitative data? In what situations could the number 42 be considered qualitative data?

4. What are the characteristics of a relational database?

5. When would using a personal DBMS make sense?

6. What is the difference between a spreadsheet and a database? List three differences between them.

7. Describe what the term normalization means.

8. Why is it important to define the data type of a field when designing a relational database?

9. Name a database you interact with frequently. What would some of the field names be?

10. What is metadata?

11. Name three advantages of using a data warehouse.

12. What is data mining?

13. In your own words, explain the difference between supervised learning and unsupervised learning. Give an example of each (not from the book).

14. Do some original research and find two examples of data mining. Summarize each example and then write about what the two examples have in common.

15. Conduct some independent research on the process of business intelligence. Using at least two scholarly or practitioner sources, write a two-page paper giving examples of how business intelligence is being used.

16. Conduct some independent research on the latest technologies being used for knowledge management. Using at least two scholarly or practitioner sources, write a two-page paper giving examples of software applications or new technologies being used in this field.

Section 2

Review the section on Linear Development in Learning Approaches. Discuss how learning changes over time impact organizational culture. What is the impact of this cultural change on the success of IT projects?