Reduced Data Costs by 60% for a Digital-Native
We collaborated with a rapidly expanding digital company to upgrade their disorganized and ineffective data processes. The client depended significantly on data for marketing, operations, and product development but encountered difficulties due to outdated technical issues and slow, inconsistent data handling. Utilizing DBT Core, Google Cloud, and Apache Airflow, we migrated and revamped their data infrastructure, enhancing performance and ensuring it could scale. Our efforts included creating a standardized data transformation model, which decreased data refresh times from 8 hours to 2 hours, and reducing infrastructure costs by 60% through optimizations in BigQuery. Furthermore, we implemented automated data validation, CI/CD pipelines, and improvements in orchestration, which allowed for dynamic scaling and greater efficiency in analytics. As a result, the client benefited from quicker reporting, less manual intervention, and improved operational flexibility. Our Data Team as a Service continues to offer strategic support to guarantee long-term success and adaptability to changing business requirements.