rchilli-oracle-hcm-logoLOV (List of Values) Mapping

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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

  • Real-time Validation Against Oracle Rules

  • Standardization Across Regions, Roles, and Datasets

  • Seamless Integration with Resume Parsing and Data Enrichment

Why It Matters for HR Leaders

Without LOV Mapping:
  • 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
With RChilli LOV Mapping:
  • 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. 

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Core Features

 

Intelligent LOV Mapping

  • Automatically maps resume data to Oracle-approved LOVs

  • Eliminates free-text errors

 Result: Clean and consistent candidate records 

Real-Time Data Validation

  • Validates extracted data against system rules

  • Prevents incorrect or incomplete entries

 Result: Fewer workflow failures and rejections 

Multi-Region Standardization

  • Aligns data across countries, regions, and job roles

  • Ensures global consistency

 Result: Unified global hiring data 

Integration with Data Hygiene & Parsing

  • Integration with Data Hygiene & Parsing

  • Normalizes and enriches candidate profiles

 Result: High-quality, structured data 

Reusable Configuration

  • Configure LOV mapping once

  • Apply across bulk imports, new candidates, and database reprocessing

 Result: Scalable and efficient operations 

Before vs After (Recruiter Impact)

BEFORE (Without LOV Mapping)
  • 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
AFTER (With LOV Mapping)
  • All variations mapped to a single standardized value
  • Accurate filters and search results
  • Reliable analytics and dashboards
  • Minimal manual intervention
  • Consistent • Accurate • Efficient • Reliable

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UseCases

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  •  Standardized Candidate Filtering 

     Filter candidates by degrees, certifications, licenses 
     Outcome:Faster and accurate shortlisting 

  •  Compliance-Driven Hiring 

     Maintain consistent data for regulated roles 
     Outcome:Strong governance and audit readiness 

  •  Legacy Data Cleanup 

     Normalize old resumes during migration 
     Outcome: Clean and structured database 

  •  Recruiting Campaign Optimization 

     Enable precise targeting with standardized data 
     Outcome: Improved campaign performance 

Business Impact

 

  • 95%+ accuracy in mapping candidate data to LOV fields

  • ~3–5 minutes saved per application

  • ~1,600+ recruiter hours saved per month

  • Significant reduction in profile rework

  • Faster screening, reporting, and compliance audits

Business-analytics-dashboard

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. 

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