Leveraging QKB (Quality Knowledge Base) in SAS

1. Predefined Data Quality Rules: Access to a library of predefined data quality rules covering various aspects of data quality.
2. Metrics and Benchmarks: Predefined metrics and benchmarks for measuring and assessing data quality.
3. Customization: Ability to customize and configure rules, metrics, and benchmarks to align with specific requirements.
4. Integration: Seamless integration with SAS applications for data quality assessment and improvement.

Before learning to leverage QKB (Quality Knowledge Base) in SAS, it's helpful to have these skills:

1. SAS Programming: Proficiency in SAS programming to navigate and utilize SAS applications effectively.
2. Data Management: Understanding of data management principles, including data profiling, cleansing, and transformation.
3. Data Quality Concepts: Familiarity with data quality concepts such as completeness, accuracy, consistency, and validity.
4. Data Governance: Knowledge of data governance frameworks and practices to ensure data quality and integrity.

By learning to leverage QKB (Quality Knowledge Base) in SAS, you gain the following skills:

1. Data Quality Management: Ability to assess, monitor, and improve data quality using predefined rules and metrics.
2. SAS Application Proficiency: Proficiency in using SAS applications for data quality assessment and improvement.
3. Customization and Configuration: Skills to customize and configure data quality rules, metrics, and benchmarks to align with specific requirements.
4. Automated Data Quality Checks: Knowledge of setting up automated data quality checks and validations within SAS applications.