Computer-Aided Dispatch (CAD) systems generate some of the most operationally critical, and notoriously messy, datasets in public safety.

Because CAD records are created in fast‑moving, high‑pressure environments, human error is unavoidable. Small inconsistencies — misspelled locations, incorrect unit assignments, and incomplete fields — can cascade into larger issues that distort response‑time metrics, resource‑allocation models, and after‑action reviews.

These challenges are amplified by the timestamp‑heavy nature of CAD datasets, where even minor inaccuracies can compromise the integrity of incident timelines and operational analytics.

This challenge raises an important question: How can we empower CAD Administrators to unlock organizational gains and ensure accuracy, consistency, and reliability at scale?

‍In this webinar, we’ll examine common data quality pitfalls, discuss methods for detecting and correcting structural and semantic errors, and highlight approaches for transforming raw CAD logs into reliable, actionable insights.

Speakers:‍

‍Tony Dunsworth, Database Administrator II, City of Alexandria, Virginia
‍Melissa Alvarez, Senior Solutions Engineer, 1Spatial