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Talent Intelligence

Data and software used to understand skills, roles, candidates, employees, and workforce opportunities.

businessPublished 2026/06/08Last verified 2026/06/08

References

  1. OPM Human Capital Management

    U.S. Office of Personnel Management

    Official human-capital resource used as context for workforce planning and talent analytics.

FAQs

What is talent intelligence used for?
It can support sourcing, matching, workforce planning, internal mobility, skills analysis, and talent strategy when data quality is sufficient.
What should buyers ask about talent intelligence models?
They should ask about data sources, assumptions, refresh timing, explainability, permissions, bias controls, and exportable evidence.

Related Terms

  • Workforce Planning

    The process of forecasting roles, headcount, skills, budgets, and hiring needs against business plans.

  • Skills Taxonomy

    A structured vocabulary for describing skills, capabilities, roles, and related talent data.

  • Candidate Matching

    The process of comparing candidate profiles or skills with role requirements or talent needs.

Related Items

  • Eightfold AI

    Eightfold AI is a talent intelligence platform for talent acquisition, talent management, workforce planning, and AI-assisted talent workflows.

  • Workday

    Workday is an enterprise AI platform for HR, finance, and IT, with HCM products for core HR, talent, workforce management, payroll, planning, and analytics.

  • Visier

    Visier provides workforce AI and workforce intelligence products that unify people data, context, benchmarks, analytics, planning, recommendations, and workforce decision support.

  • Phenom

    Phenom is a talent intelligence platform with applied AI for candidates, recruiters, managers, talent marketers, HR, HRIT, high-volume hiring, career sites, talent marketplace, chatbot, CRM, campaigns, SMS, and messaging.

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What it means

Talent intelligence is the use of internal and external talent data to understand workforce supply, skills, hiring markets, candidate pipelines, internal mobility, retention risks, succession options, and workforce planning needs. In HR software, talent intelligence may combine recruiting data, employee profiles, skills taxonomies, labor market signals, performance data, learning records, and analytics models.

Why buyers should care

Talent intelligence can help leaders plan hiring and development, but it can also overstate certainty when data sources are incomplete or models are opaque. Buyers should evaluate whether software explains data sources, refresh timing, permissions, assumptions, bias controls, export options, and how recommendations are generated. Talent intelligence should support decisions with context, not replace local judgment or workforce expertise.

Evaluation checks

Review data lineage, skills mapping, labor market data sources, internal mobility signals, model explanations, permissions, reporting segments, and action workflows. Ask vendors how they handle missing skills, outdated profiles, small groups, and sensitive employee data. Strong talent intelligence makes workforce patterns more visible while keeping assumptions reviewable.

This glossary entry is buyer-oriented guidance, not legal, compliance, or financial advice.