HR Information Systems and Data Analysis
What an HRIS does
An HRIS is the system of record for employee data: core demographics, position and classification data, pay, benefits enrollment, leave balances, applicant tracking, and performance records. Its value depends on data governance - one authoritative source per field, defined ownership, consistent coding of positions and statuses, role-based access, audit trails, and retention rules aligned with legal requirements. Payroll and timekeeping interfaces are the most common points of failure.
Metrics a candidate should know
- Turnover rate = separations ÷ average headcount × 100 (annualized).
- Vacancy rate, time to fill, cost per hire.
- FTE vs. headcount - FTE sums budgeted hours; headcount counts people.
- Absenteeism rate, span of control, compa-ratio, training hours per employee.
- Leading indicators (applicant flow, vacancy aging) predict; lagging indicators (turnover, grievance counts) confirm.
Analysis and reporting
EEO-4 and other regulatory reports depend on accurate job-group coding. Adverse impact analysis, workforce planning, and dashboards all rest on clean data. Audits should confirm that every field used in a report has a defined owner and a validation rule.
Traps
- Counting internal transfers or promotions as separations, inflating turnover.
- Using end-of-period headcount instead of an average.
- Comparing metrics across agencies with different definitions or job groupings.
- Exposing PII through overly broad system access; failing to log who viewed sensitive records.
- Assuming a dashboard is accurate because it is automated.
Rule of thumb
Before trusting any metric, ask three questions: How is it defined? What period and population? Who entered the data?
Worked example: An agency begins the year with 200 employees and ends with 220; average headcount = 210. With 21 separations, turnover = 21 ÷ 210 × 100 = 10%.