Case Study: LA County improves hiring efficiency with Databricks

A Databricks Case Study

Preview of the LA County Case Study

Hiring the talent that keeps the nation’s largest county running

LA County’s Department of Human Resources faced a major hiring challenge: legacy siloed systems limited visibility into candidate data and process bottlenecks, contributing to an average time-to-hire of 384 days. Working with Databricks Data Intelligence Platform on Azure, LA County needed a better way to unify hiring data and understand where delays were happening.

Databricks helped LA County standardize on a lakehouse architecture and centralize data from multiple sources into unified dashboards for executives, HR, and hiring teams. As a result, the county gained clearer insight into bottlenecks, improved collaboration and productivity, and lowered operational costs; Databricks enabled a faster, more data-driven hiring process across the organization.


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LA County

Roozan Zarifian

Chief Information Officer


Databricks

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