✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Construction firms manage project data across estimating software, project management platforms, accounting systems, and subcontractor databases that rarely sync with each other. The same project might appear as 'Oak Street Office Renovation' in the estimating tool, 'Oak St. Commercial TI' in the PM platform, and 'Project #2024-087' in the accounting system. dataclean.to matches construction records by normalizing project names, comparing addresses, and clustering records with shared client and contractor references to unify fragmented project data.
The Problem
Duplicate records in construction data lead to costly errors. When material orders are placed against duplicate project records, quantities are calculated separately for what is actually the same job, resulting in double orders or underestimates that cause delays. Subcontractor databases with duplicate vendor entries split insurance certificates, license verifications, and payment histories across multiple profiles, making it difficult to confirm a sub is properly qualified and current on documentation. Bid tracking with duplicate project entries wastes estimators' time and creates confusion about which bids are active versus superseded. Construction Industry Institute knowledge base
How to Fix It
1
Export project and vendor data
Pull records from your estimating software, project management platform, accounting system, and subcontractor database. Include project name, address, client, start date, budget, and all associated vendor and subcontractor entries.
2
Upload to dataclean.to
Upload the CSV. The tool normalizes project names and addresses, matches client information, and identifies records that refer to the same construction project or subcontractor despite naming inconsistencies.
3
Review duplicate clusters
Inspect groups of records flagged as the same project or vendor. The tool shows field differences such as abbreviated addresses, different project number schemes, and varying budget figures from different system snapshots.
4
Merge into unified project records
Consolidate confirmed duplicate projects into single records with the most current budget, schedule, and status information. Subcontractor profiles are merged to show complete qualification documents and payment histories.
5
Export and update your systems
Download the deduplicated CSV and reconcile your construction management tools. Each project and vendor now has one authoritative record, reducing the risk of duplicate orders and missed compliance documents.
Frequently Asked Questions
How does the tool handle project phases tracked as separate entries?
Projects with the same address and client but different phase designations like 'Phase 1 - Demo' and 'Phase 2 - Build' are flagged for review but not automatically merged. You decide whether phases should remain separate or be unified under one project record.
Can it deduplicate subcontractors who operate under multiple business names?
Yes. The tool matches subcontractors by phone number, email, address, and license number in addition to business name. A contractor operating as both 'Smith Electric LLC' and 'Smith Electrical Services' at the same address is flagged as a potential duplicate.
What about change orders that create new records for the same project?
Change orders that generate new project entries in accounting systems are flagged when they share the same client, address, and base project name. The tool clusters them so you can link change orders back to the original project record.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.