Municipal City Government
Eliminates data silos across departments
Data-driven decisions for public safety and community planning.
The problem
Twelve city departments operated independent data systems with no shared definitions, quality standards, or lineage. Cross-departmental initiatives such as correlating public safety and community health data required months of manual data harmonization before analysis could begin.
How Qelvora helped
Qelvora's enterprise context layer unified department-specific glossaries into a shared semantic model. Automated classification and tagging enabled cross-departmental search and lineage tracing without requiring migration of any existing systems.
The outcome
Analysts from different departments could locate and trust each other's data for the first time. The city's public safety and planning teams launched a joint analytics initiative within weeks instead of months.
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