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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Q. Where in the data flow process can data cleansing be applied?

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Q. What is a drawback of cleansing data in the staging area?

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Q. Why is cleansing data in the source systems a complex task?

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Q. What factors should you consider when deciding whether to use vendor tools, integrate cleansing toolkits with ETL tools, or use in-house programming for data cleansing?

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Q. What is the first step in assessing the extent of data pollution before applying data cleansing techniques?

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Q. How can you detect the presence and extent of data pollution in your environment?

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Q. What is the purpose of a data quality framework?

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