Q. How does a good database design contribute to data quality?

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Q. What is the role of entity integrity and referential integrity rules in preventing data pollution?

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Q. What can be a result of incomplete information at the time of data entry for an entity?

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Q. How does the entry of generic values into mandatory fields affect data quality?

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Q. What role does data verification play in preventing data corruption?

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Q. In a data warehouse, why is deduplication of names and addresses essential?

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Q. What are some inherent problems with entering names and addresses in the multiple field format?

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Q. What is a key challenge in recasting name and address data into the multiple field format?

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Q. How can costs related to bad decisions based on routine analysis be estimated?

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Q. Data cleansing tools primarily serve which two main functions for improving data quality?

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Q. What are some features of error discovery functions in data cleansing tools?

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Q. What are some features of data correction functions in data cleansing tools?

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Q. How can data cleansing tools assist in the reconciliation of problems related to RDBMS referential integrity?

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Q. What is the purpose of "Update Security" in the database management system for data quality control?

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Q. What does "Conformance to Business Rules" in the database management system involve?

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Q. Why do some companies resist data cleansing initiatives?

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Q. What is the "clean as you go" approach to data cleansing in the context of a data warehouse?

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Q. What is one of the drawbacks of the "clean as you go" approach to data cleansing?

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Q. What principle should be applied when determining the extent of data cleansing for a data warehouse?

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Q. What fundamental question must be answered when deciding which data to cleanse?

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