9.5 Data Integrity, Audits, and System Controls
Key Takeaways
- Data integrity means HR information is accurate, complete, timely, consistent, and supported by reliable source documents.
- Audits should test both records and workflows because errors often come from unclear handoffs or weak approvals.
- System controls include required fields, validation rules, approval routing, audit logs, access reviews, and exception reporting.
- PHR scenarios often prefer root-cause correction over one-time manual cleanup.
Keeping HR Data Trustworthy
Data integrity means HR information can be trusted for the purpose at hand. Accurate records support pay changes, benefit eligibility, staffing plans, leave administration, compliance reporting, investigations, and employee communications. When the HRIS contains duplicate records, blank fields, stale supervisor assignments, or inconsistent codes, HR decisions become harder to defend.
A PHR question may describe a payroll error, missing benefit enrollment, incorrect status code, or report mismatch. The best answer is rarely just to fix one record. HR should correct the affected employee data and then determine why the error occurred. The cause might be a missing approval, unclear ownership, poor training, weak system validation, or a manual handoff that no one reconciles.
| Control | Purpose | Example |
|---|---|---|
| Required field | Prevent incomplete records | Hire cannot be finalized without work location |
| Validation rule | Reduce impossible entries | Termination date cannot precede hire date |
| Approval workflow | Confirm authority | Pay change routes to approved reviewer |
| Audit log | Create accountability | System records who changed status and when |
| Exception report | Find problems quickly | List employees missing supervisor IDs |
Auditing the Workflow
An audit should test whether the process works as designed. HR may sample new hire records, transfers, pay changes, leave entries, separations, or benefit eligibility feeds. The audit should compare HRIS data to source documents and related systems. If the HRIS says an employee transferred on one date but payroll and the signed form show another date, HR needs reconciliation.
Audits should be planned and repeatable. A one-time cleanup can help, but it does not create lasting control. HR should define what is reviewed, how often, who owns correction, how issues are escalated, and how completion is documented. Exception reports can make audits more efficient by showing records that fail a rule.
Common Data Integrity Risks
- Manual reentry between HRIS, payroll, benefits, learning, and applicant tracking systems.
- Inconsistent reason codes for separations, leave, discipline, complaints, or job changes.
- Effective dates entered after payroll or benefit deadlines have passed.
- Former employees or vendors retaining access after their role ends.
- Reports built from stale exports instead of current system data.
System controls should support users without making legitimate work impossible. Too many required fields can lead users to enter placeholder values, while too few controls allow incomplete records. HR should monitor whether controls are improving quality or creating new workarounds.
PHR answer logic favors root-cause thinking. If managers repeatedly enter wrong transfer dates, train them if training is the issue, but also review form design, instructions, approval timing, and system validation. If vendor feeds fail, define monitoring and escalation. Reliable HR data comes from a controlled process, not from hoping users will remember every detail.
An audit finds many employee records with blank work locations. Which control would best prevent this issue going forward?
HR corrects several incorrect status codes after a benefits error. What should HR do next?
Which item is the best example of an HRIS audit trail?