Healthcare Recruiting Company Migrated its Data from an On-Premises SQL Server to Snowflake; Gained Immediate Visibility into Recruitment Pipeline & Staffing Metrics

A large recruiting and fulfillment company for traveling nurses was wrestling with outdated data in its on-premises SQL Server. The company needed to improve the quality of its data and unlock insights from their data in a more timely and comprehensive way.

By migrating and replatforming its operational data from the SQL Server to Snowflake, the company gained immediate value with powerful new dashboards built on top of its Snowflake data cloud. These new dashboards provided clearer visibility into their recruitment pipeline and staffing metrics that were previously not possible.

The company’s legacy on-premises SQL Server contained outdated data regarding its most valuable asset — the supply and pipeline of nurses.  

The company had limited insights to drive analysis of its recruitment pipelines. KPIs were time-consuming to report and often did not provide the complete picture.

Armeta successfully migrated and replatformed the company’s data from an on-premises SQL Server to Snowflake and enabled the company to gain immediate value from its modern data cloud by building powerful dashboards that provided KPIs and Staffing Analytics for executives and nursing pipeline analysis for recruitment.  

Armeta used its proprietary Cloud Migration Accelerator™ to migrate and replatform the company’s operating data in its entirety to Snowflake in a fraction of the time compared to our benchmark competitors.

Armeta will further modernize and optimize the company's operations by strengthening its data governance and improving its data quality.

• Accelerated time to value operating in Snowflake.
• Maintained system reliability — zero downtime, no disruption to business operations.
• Eliminated the need for on-prem SQL Server.
• Clearer visibility and advanced, actionable insights into the company’s recruitment pipeline and staffing metrics to drive operational efficiencies and improvements.