Toptal cuts data processing delays by 93% for veterinary pharma company.
A leading animal health organization engaged Toptal to overcome data processing delays and high cloud costs, developing a unified data platform that improved efficiency and reduced expenses.
Client
A U.S.-based global animal health company providing medicines, vaccines and diagnostics for pets and livestock worldwide.
Employees
Revenue
Industry
Healthcare and Life SciencesDelivered Services
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Schedule a CallChallenge
The company faced significant delays in data processing, with latency up to 15 minutes impacting decision-making in clinical settings.
Solution
Unified Data Platform
Toptal streamlined data management by migrating to Databricks and ADLS Gen2, creating a cohesive data lake architecture that supports real-time processing and storage in delta tables.
Strategic Migration Process
Toptal implemented a meticulous migration strategy, running both systems in parallel during a pilot phase to ensure a seamless transition to the new platform without disrupting ongoing operations.
Outcome
Reduction in Delays
This transformation reduced processing delays from 15 minutes to just 1 minute, dramatically improving operational efficiency and access to critical clinical data.
Significant Cost Savings
By moving to a centralized Databricks and ADLS solution, the company projects a 40% reduction in annual cloud service costs.
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