A city's data was accurate inside each department. The problem was it stopped there.
Municipal governments generate data across dozens of departments, including finance, utilities, permitting, public safety, parks, and HR. Each system may be accurate on its own, but when none of them connect, leadership only sees part of the picture. The City of Frisco fixed that with Snowflake.
Does this describe your city's data?
- Department data lives in separate systems with no unified view
- Cross-department reports require IT to manually pull and reconcile data
- Leadership cannot see operational performance across the city in one place
- Adding a new data source means starting a new integration project from scratch
- Access controls are inconsistent across tools and departments
- On-premise infrastructure requires ongoing maintenance your team does not have capacity for
What Armely built for the City of Frisco
The City of Frisco needed a single governed data platform that IT leadership and city executives could rely on. Departmental data had to come together without replacing the source systems departments already depended on.
Armely implemented Snowflake as the city's unified data cloud, connecting source systems across finance, utilities, permitting, and public safety.
Automated pipelines keep the warehouse current. Role-based security controls who sees what. Authorized analysts can query directly without waiting for IT.
At a glance
| Before | After |
|---|---|
| Operational data siloed across departments with no unified access layer | Snowflake data cloud provides a single governed data platform across all departments |
| Finance, utilities, permitting, and public safety data lived in separate systems | Unified data warehouse ingests from all source systems on automated schedules |
| Reports built manually by IT staff on request, often taking days | Self-service query access for authorized analysts, reducing IT report bottlenecks |
| No scalable path to add new data sources as city operations grew | Elastic cloud architecture scales with usage, and new sources connect to the existing warehouse |
| Row-level security managed inconsistently across tools | Centralized role-based access control and row-level security enforced at the warehouse layer |
| Analytics environment required ongoing on-premise infrastructure maintenance | Fully managed cloud platform eliminates server maintenance and capacity planning |