Modern Database Management (12th Edition)
12th Edition
ISBN: 9780133544619
Author: Jeffrey A. Hoffer, Ramesh Venkataraman, Heikki Topi
Publisher: PEARSON
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Chapter 10, Problem 10.7RQ
Program Plan Intro
SOX’s effect on the need for organisation to improve quality of data.
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Explain the principles of data profiling and data cleansing for improving data quality.
List and explain large data issues.
Explain the concept of data governance and its significance in ensuring data quality and compliance.
Chapter 10 Solutions
Modern Database Management (12th Edition)
Ch. 10 - Prob. 10.1RQCh. 10 - Prob. 10.2RQCh. 10 - Prob. 10.3RQCh. 10 - What are the key activities that are often the...Ch. 10 - What are the key components of a data governance...Ch. 10 - Prob. 10.6RQCh. 10 - Prob. 10.7RQCh. 10 - Prob. 10.8RQCh. 10 - Prob. 10.9RQCh. 10 - Prob. 10.10RQ
Ch. 10 - Prob. 10.11RQCh. 10 - Prob. 10.12RQCh. 10 - Prob. 10.13RQCh. 10 - Prob. 10.14RQCh. 10 - Prob. 10.15RQCh. 10 - What are the major differences between the data...Ch. 10 - Prob. 10.17RQCh. 10 - List six typical characteristics of reconciled...Ch. 10 - Prob. 10.19RQCh. 10 - Prob. 10.20RQCh. 10 - Prob. 10.21RQCh. 10 - Prob. 10.22RQCh. 10 - Describe some field-level and record-level data...Ch. 10 - Prob. 10.24PAECh. 10 - Prob. 10.25PAECh. 10 - Prob. 10.26PAECh. 10 - Prob. 10.27PAECh. 10 - Prob. 10.28PAECh. 10 - Prob. 10.29PAECh. 10 - Prob. 10.30PAECh. 10 - Prob. 10.32PAECh. 10 - Prob. 10.33PAE
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- Please explain the benefits of data profiling.arrow_forwardExplain the importance of data governance and data stewardship in effective data management.arrow_forwardExplain the concept of data redundancy in data management and provide examples of how it can impact efficiency and data accuracy.arrow_forward
- Explain the concept of data lineage in data management and its importance in ensuring data accuracy and traceability. Provide a real-world example of how data lineage can be applied.arrow_forwardExplain the importance of data governance and data quality management in data warehousing, and provide strategies to ensure high data quality.arrow_forwardExplain the concept of data provenance and its role in ensuring data traceability and trustworthiness. Provide examples of how data provenance is utilized in various industries.arrow_forward
- List and explain the phases that take place throughout the data analysis process.arrow_forwardDescribe the concept of data quality assessment. What methods and tools can organizations use to assess and improve the quality of their data?arrow_forwardExplain the concept of data governance and its role in ensuring data quality and compliance in financial institutions.arrow_forward
- Explain the concept of data governance and its importance in ensuring data quality and compliance within a data warehousing environment.arrow_forwardDescribe the procedures for data quality assurance.arrow_forwardExplain the challenges associated with data warehousing, such as data quality issues and scalability concerns, and describe strategies to address tharrow_forward
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