Q. Why is data quality considered critical in organizations?

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Q. What is the underlying theme across various approaches to Master Data Management (MDM)?

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Q. How does MDM help improve data quality in the context of data warehousing?

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Q. What type of data is considered as master data in MDM?

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Q. What is a potential benefit of MDM for businesses?

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Q. In which category of MDM is it predominantly used for obtaining quality master data?

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Q. What does MDM aim to achieve within an organization?

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Q. What does MDM stand for in the context of data quality?

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Q. What is a practical tip for ensuring data quality?

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Q. What should organizations consider when it comes to data quality?

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Q. What is the first step in the overall data purification process?

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Q. How should you handle external data obtained for the data warehouse in terms of data quality?

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Q. How should you prioritize data elements for cleansing in the data warehouse?

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Q. What factors should determine how much data to cleanse in a data warehouse?

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Q. What is the role of a Data Correction Authority in the data quality framework?

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Q. What responsibilities does a Data Expert have in the data quality framework?

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Q. What is the role of a steering committee in data quality initiatives?

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Q. What is the main challenge in operational systems regarding data quality responsibilities?

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Q. Who should be responsible for data quality in source systems?

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

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