Home » Case Studies » From scheduled queries to robust dbt transformations
Recognizing the growing inefficiencies in their existing data pipeline, WholesomeCo sought to transform their approach to data management. Mitchell Moody, their Director of Analytics, reached out to Systematik, for their expertise as dbt partners and staff augmentation to expedite the deployment process.
“I would definitely recommend Systematik. Our goal was to consult with experts on how to implement dbt, and build a robust, modern data architecture, and they do that really well.”
– Mitchell Moody
Director of Analytics at WholesomeCo
Based on BigQuery scheduled views, the existing data pipeline was not built to scale, limiting WholesomeCo’s ability to adapt to increasing data demands.
The lack of version control introduced inconsistencies and errors, complicating maintenance efforts.
Rising costs were becoming a concern, as the existing pipeline was not optimized for the scale of data being processed.
Without standard definitions for metrics, departments faced inconsistencies and misunderstandings in interpreting data.
The initial system had limited documentation and lacked data quality monitoring features, leading to poor data quality and redundancies.
One of the key reasons WholesomeCo partnered with Systematik was to speed up the deployment process. Systematik augmented WholesomeCo’s team with their data engineers, achieving a swift transition to the new dbt-based pipeline.
Systematik’s dbt consulting helped WholesomeCo transition smoothly, creating a scalable, robust pipeline.
The team implemented data tests and quality monitoring within dbt, ensuring reliable, high-quality data.
By streamlining queries and reducing redundancies, the new system reduced operational costs.
Systematik also helped create a detailed documentation framework and standard definitions for each metric, ensuring consistency across the organization.
By leveraging Systematik’s dbt expertise and staff augmentation services, WholesomeCo was able to achieve a rapid and efficient transition to a dbt-based data pipeline. This new system not only met but surpassed the goals set by their Director of Analytics, Mitchell Moody. The benefits were manifold: faster deployment, greater scalability, fewer errors, cost savings, and improved data quality. Furthermore, the introduction of comprehensive documentation and standard definitions have ensured operational consistency across the organization.
All in all, the partnership with Systematik marked a pivotal advancement in WholesomeCo’s data management capabilities. If you’d like to hear more, watch Mitchell Moody’s video testimonial. He shares his own experience on the project’s success.