HR Data Merge Tool

Problem It Solves

HR monthly attendance, compensation reporting, and annual headcount reviews often split the same employee data across multiple Excel/CSV files: employee IDs, names, departments, attendance records, and pay components live in separate sheets. Manual VLOOKUP, copy-paste, and column-by-column checks are slow and prone to missing rows, mismatched columns, and duplicate entries. This tool is aimed at HR data analysts and compensation roles, focusing on a “multi-table merge + validation + multidimensional reporting” spreadsheet workflow rather than a general-purpose BI platform.

Core Capabilities and Steps

• Automatic table recognition: upload Excel/CSV files in bulk, detect table structure, and match records by key fields such as employee ID, name, and department.
• Deduplication and validation: configure duplicate detection, outlier rules, and missing-data handling to reduce definition drift caused by duplicate names, conflicting employee IDs, or missing key fields.
• Merge configuration: choose vertical or horizontal merging for attendance detail appending, pay-component consolidation, and employee master-data aggregation.
• Report output: select analysis dimensions and metrics, then generate visualized people-data reports for monthly attendance rollups, compensation analysis, and annual headcount reviews.

Boundaries

It fits spreadsheet merging scenarios where fields are clear and key columns are consistent. If source tables differ significantly, key column names are not standardized, or employee master data lacks a unique employee ID, column mapping and master-data cleanup are still required first. It does not replace compensation-policy decisions, nor is it a substitute for fine-grained access control over raw sensitive data.