1. (FCC A) Explain some of the major risk areas (delays or perception of failure) that threaten the success of a BI effort, and how they can be mitigated. 2. (T CO B) Discuss the purpose of data mining and why it is important. What are some examples for applying this technology? 3. (TCO C) When performing a cost-benefit analysis, it is easier to project the cost than the benefit. What are some ways to quantify the benefits of a BI effort? Provide some examples. 4. (TCO D) Assess rule-based decision support systems' benefit to the enterprise. 5. (T CO E) Evaluate the importance of the data model step in database design for a business intelligence application. 6. (TCO F) Compare and contrast project management and process management in a BI effort. 7. (TCO G) Explain how neural networks are used in a BI project and where they are specifically used. Also, state in which data mining techniques they are used and from which they are excluded