DoubleVerify
Digital ad verification leader saved $60-70k annually in engineering salaries by streamlining cloud migration and eliminating new hires.
Business goals
DoubleVerify, a global leader in digital media measurement, data management, and analytics ensures brand-safe, fraud-free ad delivery for the world’s largest advertisers and publishers through trusted measurement data and dynamic AI optimization. Faced with a rapidly growing data footprint and a lean team, DoubleVerify needed a scalable solution for complex, multi-platform workflows.
As it migrated workloads to the cloud, the company wanted to streamline pipeline infrastructure, automate manual development, and refocus engineering on strategic work.
Integration Challenges
DoubleVerify faced slow, labor-intensive integration processes that created major bottlenecks. A five-person development team spent weeks on code rewrites for table migration, which often resulted in bugs and delayed progress.
Core issues included:
- Inefficiencies from manual pipeline creation and rework
- Limited scalability, increased headcount for data operations
- Increased error risk during code migration to the cloud
- Workflow customization problems across varied data sources and targets.
DoubleVerify wanted to modernize its infrastructure while simultaneously managing costs.
How Boomi Helped
Boomi’s low-code platform enabled DoubleVerify to automate, customize, and orchestrate data pipelines with ease. A 5-person team replaced manual coding with fast, reusable pipelines deployed in under a week.
Key advantages included:
- Seamless Integration: Smooth connectivity across cloud platforms like Google Cloud.
- Flexible Data Handling: Support for change tracking and temporal tables.
- Custom Workflow Design: Implementation of branching logic and user-defined workflows.
- Rapid Onboarding: Reduced need for extensive data engineering expertise.
Results
DoubleVerify benefits from reduced costs, streamlined operations, and a robust, future-ready data infrastructure with Boomi’s unified platform, including:
- 7.5X faster data pipeline migrations
- Complete data table copies within 2 days from 2 weeks
- Savings of $60-70K annually by eliminating additional hires.
- Accelerated onboarding for non-technical staff
