How Verified Voting Boundaries Shaped Accurate Redistricting in the Census Cycle
During Phase II of the redistricting census cycle, Resource Data aligned precincts with Census geography, resolving data inconsistencies to support fair, accurate, and efficient district mapping.
Modernizing Public Fisheries Meetings with a Centralized Agenda Platform
The Pacific States Marine Fisheries Commission replaced manual, email-based meeting processes with a centralized agenda platform developed by Resource Data that simplifies public participation, reduces staff workload, and ensures reliable meetings.
Using AI to Turn Climate Funding Data into Publishable Webpages
Resource Data built an AI-powered funding aggregator for FundHubWA that automates grant sourcing, scoring, and drafting to speed publishing and improve service quality.
Collaborative Testing Supports Contact Center Modernization
Through structured testing and cross-team coordination, Resource Data helped a major utility launch its contact center with confidence—ready to support over half a million customers.
Rural Health Transformation Program (RHTP)
Understanding the right funding pathway is the first step toward securing RHTP funding.
AI Success Starts with Data
Successful Artificial Intelligence (AI) adoption requires a solid foundation, and that starts with your data.
Census Bureau’s 2030 Redistricting Data Program
From blocks to voting districts, the five-phase program that helps states set the geographies behind 2030 reapportionment and redistricting.
A Statewide Tracking System that Regulated a New Industry
Resource Data implemented Oregon’s first statewide cannabis licensing and seed-to-sale METRC system to pass the Stage Gate Process and regulate a brand-new industry under Measure 91.
AK WILDS: A Scalable Platform for Wildlife Research and Analysis
The Alaska Department of Fish and Game’s Division of Wildlife Conservation replaced aging Microsoft Access tools with AK WILDS, a secure, web-based platform built by Resource Data. Extended with Databricks, the system now processes millions of telemetry records quickly, giving biologists faster access to research-ready data.
The Education Data Lift: Accelerating Statewide Enrollment Processing
Resource Data accelerated Oregon’s education data system with a new cloud ETL to deliver faster, more reliable student pathway analysis at a fraction of the cost.
