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