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Chapter: 10 / Q: 31
Your organization is considering acquiring bolt-on software for your ERP system. What approaches are open to you
Chapter: 10 / Q: 32
Explain why the data warehouse needs to be separate from the operational database
Chapter: 10 / Q: 33
Data in a data warehouse are in a stable state. Explain how this can hamper data mining analysis. What can an organization do to alleviate this problem
Chapter: 10 / Q: 34
This chapter stressed the importance of data normalization when constructing a relational database. Why, then, is it important to denormalize data in a data warehouse
Chapter: 10 / Q: 35
What problems does the data cleansing step attempt to resolve
Chapter: 10 / Q: 36
How are the summary views in a data ware- house different from views in an operational database
Chapter: 11 / Q: 1
Would drill-down be an effective audit tool for identifying an unusual business relationship between a purchasing agent and suppliers in a large organization with several hundred suppliers Explain
Chapter: 11 / Q: 2
Disruptions to operations are a common side effect of implementing an ERP. Explain the primary reason for this
Chapter: 11 / Q: 3
ERP systems use the best-practices approach in designing their applications, yet goodness of fit is considered to be an important issue when selecting an ERP. Shouldn’t the client just be able to use whatever applications the ERP system provides
Chapter: 11 / Q: 4
Explain the issues of size, speed, workload, and transaction as they relate to scalability
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