Staff augmentation for fast analytics

WholesomeCo faced challenges with their existing data pipeline, which lacked scalability, version control, and cost-efficiency. Built on BigQuery scheduled views, it was not designed to handle growing data demands, leading to inconsistencies, high costs, and poor data quality monitoring.

To address these issues, WholesomeCo partnered with Systematik to augment their team and transition their data transformations to dbt.

Cost efficiency was achieved by streamlining queries and reducing redundancies, while comprehensive documentation and standard metric definitions ensured consistent understanding across departments.

The results included faster deployment, enhanced scalability, reduced errors, cost savings, and improved data quality.