Historical Data Manager for Construction

Historical Data Manager for Construction

Overview

Manage legacy construction data from archives, old systems, and historical records. Extract, clean, normalize, and migrate data into modern formats for analysis and benchmarking.

Business Case

Construction companies accumulate decades of project data in various formats:

• Paper records scanned to PDF
• Legacy database exports (Access, dBase, FoxPro)
• Old spreadsheet formats (Lotus 1-2-3, early Excel)
• Proprietary software exports
• Project closeout documentation

This skill helps extract value from historical data for:

• Cost benchmarking and trending
• Productivity analysis over time
• Risk pattern identification
• Estimating improvement

Technical Implementation

Historical Data Extractor

from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional
from datetime import datetime
from pathlib import Path
import pandas as pd
import re
import json

@dataclass
class HistoricalRecord:
    project_id: str
    project_name: str
    year: int
    data_type: str  # cost, schedule, labor, material