What is LOV Mapping?
LOV (List of Values) Mapping ensures that all candidate data captured from resumes is standardized, validated, and aligned with predefined system values—especially within Oracle Cloud HCM.
It eliminates free-text inconsistencies by mapping extracted data to approved system-defined values (LOVs).
Key Capabilities
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Intelligent Mapping of Resume Data to System-Defined LOVs
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Real-time Validation Against Oracle Rules
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Standardization Across Regions, Roles, and Datasets
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Seamless Integration with Resume Parsing and Data Enrichment
Why It Matters for HR Leaders
- Inconsistent data (e.g., “MBA”, “M.B.A.”, “Master of Business Administration”)
- Poor search and filtering accuracy
- High manual correction effort
- Compliance and reporting challenges
- Clean, standardized, and reliable data
- Faster hiring decisions
- Reduced manual intervention
- Improved search accuracy
- Consistent data quality
Your analytics and hiring decisions are only as strong as your data consistency.
Core Features
Intelligent LOV Mapping
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Automatically maps resume data to Oracle-approved LOVs
- Eliminates free-text errors
Result: Clean and consistent candidate records
Real-Time Data Validation
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Validates extracted data against system rules
- Prevents incorrect or incomplete entries
Result: Fewer workflow failures and rejections
Multi-Region Standardization
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Aligns data across countries, regions, and job roles
- Ensures global consistency
Result: Unified global hiring data
Integration with Data Hygiene & Parsing
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Integration with Data Hygiene & Parsing
- Normalizes and enriches candidate profiles
Result: High-quality, structured data
Reusable Configuration
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Configure LOV mapping once
- Apply across bulk imports, new candidates, and database reprocessing
Result: Scalable and efficient operations
Before vs After (Recruiter Impact)
- Multiple variations of same degree treated differently
- Manual interpretation required
- Poor filtering and unreliable analytics
- High manual data correction effort
- Inconsistent • Time Consuming • Error Prone
- All variations mapped to a single standardized value
- Accurate filters and search results
- Reliable analytics and dashboards
- Minimal manual intervention
- Consistent • Accurate • Efficient • Reliable
UseCases
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Standardized Candidate Filtering
Filter candidates by degrees, certifications, licenses
Outcome:Faster and accurate shortlisting
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Compliance-Driven Hiring
Maintain consistent data for regulated roles
Outcome:Strong governance and audit readiness
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Legacy Data Cleanup
Normalize old resumes during migration
Outcome: Clean and structured database
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Recruiting Campaign Optimization
Enable precise targeting with standardized data
Outcome: Improved campaign performance
Business Impact
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95%+ accuracy in mapping candidate data to LOV fields
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~3–5 minutes saved per application
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~1,600+ recruiter hours saved per month
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Significant reduction in profile rework
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Faster screening, reporting, and compliance audits
About RChilli
RChilli transforms Oracle HCM into a candidate-friendly, high-conversion hiring platform with its AI-powered Smart Apply, offering enterprise-grade security and compliance. Trusted by over 1,600 global HR tech platforms, RChilli provides proven Oracle HCM integrations and ensures secure resume processing with compliance-ready workflows, including ISO 27001:2022, SOC 2 Type II, GDPR, HIPAA standards.
By simplifying complex apply processes, RChilli reduces barriers that drive candidates away, enhances candidate experience, and accelerates hiring outcomes, preventing delayed optimization and lost talent. Its intelligent automation helps HR teams achieve higher conversion rates, maintain accurate data, and strengthen employer brand, all while providing a seamless, secure, and efficient recruitment experience.


















