Skills Data Enrichment
Outdated job roles and static skills frameworks can’t keep up with today’s rapid change. AI-powered skills data enrichment is the key to unlocking precision in workforce planning, sharper L&D investments, and talent agility.
Organizations are overwhelmed with skills data trapped in legacy HR systems, scattered across business tools, tangled in outdated taxonomies and inconsistent job-role frameworks. This fragmented view stalls workforce agility and decision-making.
Standardize skills with a AI-powered taxonomy enrichment
iMocha contextually enriches each skill with meaningful metadata to ensure consistency and depth across all roles and domains.
4-level structure: Domain » Sub-domain » Skill Clusters » Skills
Tagged with rubrics, certifications, and descriptive metadata
Based on O*Net, Singapore Skills Framework, and industry-specific frameworks
Align job profiles with required skills and proficiencies
Every job profile is mapped to relevant skills and capabilities, along with defined proficiency levels, enabling alignment with strategic workforce planning.
Map job roles to capabilities and granular skill sets
Define proficiency levels by skill to support decision-making
Build a role-skills-capability graph that aligns with org goals
Reveal emerging and hidden skills across the workforce
Our AI engine continuously identifies new, in-demand skills through multiple dynamic sources, keeping your skills data updated and future-ready.
Inferred from resumes, job profiles, adjacent skill sets
Captured from employee inputs and real-time context
Keeps your taxonomy responsive to business change
Activate workforce mobility through AI-driven contextual skill relationships
By mapping skill adjacencies, iMocha empowers cross-functional deployment, enabling talent fluidity and agile project staffing.
Identify skill adjacencies across functions and domains
Unlock hidden talent pools for redeployment and growth
Drive agile workforce planning through multidimensional insights
We turned to iMocha to gain real skills intelligence at scale. It’s helped us align development with business needs and empower data-driven career growth globally.
iMocha enabled a skills-first approach by helping us accurately validate employee capabilities, tailor training to real needs, and meet industry standards—while saving time and reducing manual effort.
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We successfully scaled a tailored certification program – assessing niche technical competencies across 1,000+ employees—and exceeded industry benchmarks with the support of iMocha.
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iMocha enabled us to take a skills-first approach by mapping over 60 role-specific competencies and aligning them with curated learning paths, giving us deep visibility into employee strengths and growth.
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With iMocha’s AI-powered Skills Assessment, L’Oréal is making smarter, data-driven hiring and upskilling decisions—ensuring their teams stay ahead in the ever-evolving beauty industry.
iMocha enabled us to take a skills-first approach by mapping over 60 role-specific competencies and aligning them with curated learning paths, giving us deep visibility into employee strengths and growth.
iMocha enabled a skills-first approach by helping us accurately validate employee capabilities, tailor training to real needs, and meet industry standards—while saving time and reducing manual effort.
We successfully scaled a tailored certification program – assessing niche technical competencies across 1,000+ employees—and exceeded industry benchmarks with the support of iMocha.
A unified, structured skills foundation across the enterprise
Faster standardization and skill enrichment for optimum talent decisions
Accurate capability frameworks for workforce planning
Enhanced internal mobility and succession design
Real-time responsiveness to evolving business needs
Transform your skills data—with iMocha’s Skills Intelligence.
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