SKILL BENCHMARK
Data Management and Governance Competency (Intermediate Level)
- 15m
- 15 questions
The Data Management and Governance Competency (Intermediate Level) benchmark will measure your ability to recall and relate the concepts of data management, quality, compliance, and governance. A learner who scores high on this benchmark demonstrates that they have a good understanding of data management, compliance, quality, and governance elements.
Topics covered
- build a business case that highlights the key advantages of data governance
- compare the concepts of data management, data governance, and data compliance
- describe how data compliance helps improve data quality
- describe the key requirements for data compliance and specify how to achieve data protection and privacy
- distinguish between basic database operations and functions
- identify approaches that help continuously improve data management
- identify major issues in achieving data governance and data compliance
- list activities involved in data quality management
- name important steps for improving data quality
- name the major issues involved and strategies used when trying to achieve data compliance
- name the most important measurements used to describe data performance
- outline the full cycle of integrating data into a governance system
- specify how to establish data governance across multiple domains
- specify the importance of having reference data
- specify the risks in utilizing large databases and list the approaches to maintaining data security