tbm-data-reconciliation-mapper
CommunityReconcile GL data for TBM readiness.
Authorforgeonlabs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The TBM Data Reconciliation Mapper aligns GL structures across actuals, budget, and forecast, ensuring a single, comparable GL framework before TBM classification.
Core Features & Use Cases
- Auto-aligns CC×GL keys, applies COA mappings, and flags gaps for fuzzy matching.
- Produces a reconciled Tier 4 dataset ready for A1 and B2; outputs include reconciliation stats and unmatched pools.
- Use cases include preparing data for GL-level TBM analysis when data comes from multiple source systems and COA changes.
Quick Start
Run the reconciliation with your actuals, budget, and optional forecast CSVs to generate the output JSON and Tier 4 CSV for A1.
Dependency Matrix
Required Modules
pandas
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: tbm-data-reconciliation-mapper Download link: https://github.com/forgeonlabs/layerforge/archive/main.zip#tbm-data-reconciliation-mapper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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