STUDY GUIDE

Exam 1

For the first exam study the following material:

  1. Chapter 1 (study the chapter and the presentation)

  2. Chapter 3 (study the chapter and the presentation)

The exam consists of 35 multiple choice questions and 2 essay questions from the following list:

  1. What is business intelligence?

  2. What is the hierarchy of knowledge?

  3. Explain the business Pressures-Response-Support model.

  4. Which are the 4 layers of a High-level BI Architecture?

  5. What are the benefits of BI?

  6. What are the Managerial Issues with BI Implementations?

  7. What is the role of BI in Business Strategy?

  8. What does the term “Business Analytics” mean?

  9. Which are the 3 categories/classifications of Business Analytics?

  10. How does “Big Data” relate to BI?

  11. What is BPM?

  12. Which are the major BPM Processes?

  13. What is a Performance Measurement System?

  14. What is Information Visualization?

  15. What is Visual Analytics?

  16. What is a performance Dashboard?

  17. Which are the ingredients/characteristics of a good dashboard design?

  18. What are KPIs?

  19. What is BSC?

  20. What is Six Sigma?

Please bring a scantron 882 and a pencil.

Exam 2

For the second exam study the following material:

  1. Chapter 4: Only study up to page 186 and the PowerPoint presentati

  2. Chapter 5: Only study up to page 243 and the PowerPoint presentation

  3. Chapter 6: Study the entire chapter and the PowerPoint presentation

  4. Review Assignment 2.3 concepts behind the Data Mining Exercise

Also study the essay questions below:

1.       What is Data Mining? Which are the four major types of Data Mining (DM) patterns?

2.       What are the basic steps in the CRISP-DM process?

3.       Which are the most common classification techniques?

4.       Which are the 5 most common DM Mistakes? Rank them from the most important to the least important (from your perspective).

5.       What is Text Mining? How is Data Mining different from Text Mining?

6.       What is the role of Natural Language Processing in Text Mining?

7.       What is Sentiment Analysis? How does it relate to text mining?

8.       What is Deception detection?

9.       Which are the 3 main areas of Web mining?

10.   What is Bid Data analytics? How does it differ from regular analytics?

11.   Who are the data scientists? What makes them so much in demand?

12.   Which are the CSFs for Big Data Analytics?

13.   Which are the Challenges of Big Data Analytics?

The exam consists of 35 multiple choice questions and 2 essay questions.

Please bring a scantron 882 and a pencil.

Exam 3

For the final exam study the following material:

  1. Chapter 2 (study the chapter and the presentation)

  2. Chapter 7 (study the chapter and the presentation)

The exam consists of 35 multiple choice questions and 2 essay questions.

Please bring a scantron 882 and a pencil.