How Data Fusion Transforms Data Integrity
Discover how rule-based automation turns geospatial chaos into clarity, fusing your data into a single, trusted source of truth.
The Problem
Every utility, government agency, and transport department faces the same data dilemma: Multiple systems. Conflicting formats. Endless corrections. Manual reconciliation isn’t scalable, and bad data doesn’t just slow you down, it costs you. That’s why leading GIS teams are turning to Data Fusion to automate integrity, interoperability, and compliance.
The Solution
This whitepaper shows how 1Spatial’s rule-based Data Fusion engine aligns, merges, and validates datasets across systems automatically, eliminates topological and attribute errors before they spread, enforces data governance and auditability from day one, and cuts project delivery time by months, not weeks.
What’s Inside
- The 6 Core Types of Data Fusion, from geometric to hybrid
- Real-world use cases, including DOTs, Census Bureau, and utilities achieving 90%+ automation
- A step-by-step workflow showing how rule-based logic drives faster, cleaner results
- Practical recommendations to integrate Data Fusion into your governance cycle
Who Should Read It
- GIS & Data Managers struggling with cross-system alignment
- Utility and Transport Directors migrating to the ArcGIS Utility Network
- Government Analysts needing authoritative data for public safety and planning
The Payoff
When your data works together, so do your systems, teams, and decisions. Discover how to move from manual correction to proactive data confidence.
