Courses / Recruitment Metrics
2. Data Quality Basics for Recruitment Metrics
Describe core data quality attributes (accuracy, completeness, timeliness, consistency) relevant to recruiting data.
Recruitment Analytics / Talent Acquisition
Data Quality Basics for Recruitment Metrics
Data quality means recruiting data is accurate, complete, timely, and consistent so decisions about hiring are reliable.
"I missed a hiring target because the dashboard showed wrong source attribution — I need clean data I can trust."
Core data quality attributes are: accuracy (values reflect reality), completeness (required fields present), timeliness (data is up-to-date), and consistency (same meaning and format across records); together they ensure recruiting metrics reflect true process performance.
"I missed a hiring target because the dashboard showed wrong source attribution — I need clean data I can trust."
Core data quality attributes are: accuracy (values reflect reality), completeness (required fields present), timeliness (data is up-to-date), and consistency (same meaning and format across records); together they ensure recruiting metrics reflect true process performance.