INDUSTRY:
Government Technology / Civic Tech
CLIENT:
OpenGov
YEAR:
2025
EXPERIENCE:
React, Typescript, GraphQL, Node.js, UI/UX, Design Systems
Data Mapping - OpenGov
about.
The Data Mapping feature is designed to make it simple and reliable for jurisdictions to connect and synchronize information across different record types. Traditionally, clerks, planners, and inspectors had to manually duplicate information from one form to another — an error-prone and time-consuming process.
Data Mapping provides a flexible yet guided experience where agencies can:
Define relationships between forms and record types.
Automatically detect matching fields through AI-powered suggestions.
Manually adjust mappings with intuitive dropdowns and visual cues.
Preserve data integrity by blocking invalid or mismatched field types.
This balance of automation and user control empowers agencies to streamline permitting and licensing workflows without sacrificing accuracy.
challenge.
Agencies often manage multiple permit types (e.g., Building, Electrical, Plumbing) that share overlapping information such as applicant details, addresses, and project costs. Without structured mapping, staff had to re-enter data multiple times, leading to:
Inefficiency: Hours wasted on manual data entry.
Inconsistency: Fields mismatched across records.
Complexity: Hard-to-manage form updates across versions.
Data Mapping needed to handle tricky cases, such as:
Field type conflicts (short text vs. long text).
Source fields being updated or deleted.
Versioning when forms change over time.
The UI had to be clear enough for non-technical staff to manage mappings while also surfacing errors in real-time.
results.
With Data Mapping, agencies now benefit from:
Efficiency Gains: Staff configure mappings once and reuse them, eliminating repetitive re-entry.
Accuracy: Exact matches are flagged, while type mismatches and deleted fields are clearly indicated.
Confidence: Users receive real-time feedback if a source field is updated, deleted, or mismatched, so issues can be fixed before submission.
Scalability: Designed to support multiple form versions and a wide variety of record types.
The end result is a workflow that reduces friction for staff, strengthens data integrity, and accelerates service delivery to residents and businesses.
