compensation-benchmarking-p4p

Salary benchmarking validates pay equity by comparing internal compensation against external market survey data to identify gaps. This process handles benchmarking, internal equity diagnostics, and generates market-aligned compensation recommendations for remediation.

Generating individual compensation recommendations and total rewards statements requires salary survey data, demographic data, and performance appraisal data. These inputs enable merit pool allocation, personalized pay adjustments, and TRS document generation.

Off-cycle adjustment processing handles promotions and market corrections outside standard merit cycles. It evaluates individual compensation against market benchmarks and internal equity diagnostics to generate validated adjustment recommendations.

Merit and bonus pool design allocates rewards based on performance appraisal data and company performance metrics. It calculates distribution pools, applies pay equity checks, and generates individual compensation recommendations within budget constraints.

The compensation benchmarking tool extracts data from PDF salary survey reports using pdfplumber and pypdf dependencies. It parses benchmark salary data from PDF formats to perform market alignment and pay equity diagnostics.

Compensation analytics for executive reporting transforms benchmarking, pay equity diagnostics, and merit pool data into summary insights. It aggregates individual recommendations and off-cycle adjustments into executive-level analytics outputs.