The goals of data security include:
Managing performance of data assets
Enable appropriate access to enterprise data assets
Managing the availability of data throughout the data lifecycle
Understand and comply with all relevant regulations and policies for privacy and confidentiality
Managing the performance of data transactions
Ensure that the privacy and confidentiality needs of all stakeholders are enforced and audited
Metrics tied to Reference and Master Data Quality include:
Addressing all queries
Data steward coverage
Implementing data management training
Data sharing volume and usage
Data ingestion and consumption
Service level agreements
SDLC stands for:
System development leverage cycle
System design lifecycle
System and design long cycle
System development lifecycle
Improving data quality requires a strategy that accounts for the work that needs to be done and the way people will execute it.
TRUE
FALSE