Technology Management in HR
4
Analytics Levels
Descriptive diagnostic predictive prescriptive
3
System Types
HRIS HRMS HCM
1
New for 2026
AI content expanded across competencies
System Types
three acronyms, each a bigger circleCore record-keeping. Employee data, payroll, benefits administration, compliance reporting. The foundation every other system builds on.
Everything in HRIS plus talent management capabilities. Recruiting, onboarding, performance management, and learning management.
The full suite. HRMS plus workforce planning, analytics, succession planning, and strategic workforce management. Treats people as a strategic asset.
HR Analytics Levels
Descriptive = What happened? (reports, dashboards)
Diagnostic = Why did it happen? (root cause analysis)
Predictive = What will happen? (forecasting models)
Prescriptive = What should we do? (recommended actions)
AI in HR
Expect questions about algorithmic bias in hiring tools and the need for human oversight of AI decisions
Where AI Helps
- Resume screening at scale
- Chatbots for candidate questions
- Predictive turnover models
- Skills gap analysis
Where AI Risks
- Algorithmic bias from historical data
- Lack of transparency in decisions
- Privacy and data protection concerns
- Over-reliance without human review
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Practice NowExam Traps
2026 BASK Expanded AI Content
The 2026 Body of Applied Skills and Knowledge significantly expanded coverage of AI and technology across multiple competencies. Expect more questions about AI in recruiting, bias mitigation, and the role of human oversight.
Analytics Levels Follow a Sequence
Descriptive (what happened) comes first. Then diagnostic (why). Then predictive (what will happen). Then prescriptive (what should we do). The exam tests whether you can place a scenario at the correct level.
Algorithmic Bias in Hiring
AI tools trained on biased historical data will reproduce that bias. If past hiring favored one group, the AI will continue that pattern. Human oversight is required to catch and correct algorithmic discrimination.
AI Needs Oversight
AI in HR is a tool, not a decision-maker. Human review is required to prevent bias from scaling unchecked.
Analytics Sequence
What happened, then why, then what will, then what should. Each level builds on the previous one.
The speedometer shows 65 mph. That is descriptive analytics. It tells you what is happening right now or what happened in the past. Turnover was 18% last year. That is a descriptive metric.
You notice the car is slowing. You check and find a tire is low. That is diagnostic analytics. You investigate why turnover spiked in Q3 and find it correlated with a policy change.
The GPS estimates arrival at 3 PM based on current speed and traffic patterns. That is predictive analytics. A model forecasts which employees are at highest risk of leaving within six months.
The GPS says take the highway to save 20 minutes. That is prescriptive analytics. The model recommends specific retention interventions for high-risk employees and estimates their impact.
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