Staff augmentation for fast analytics

How WholesomeCo Director of Analytics partnered with Systematik to augment their staff and migrate their data transformations to dbt.

Industry
Ecommerce, Retail
Client
Date
Jul 27 — 2024
Technologies
Google Analytics 4, BigQuery, Google Tag Manager, dbt, Cloud functions
Context

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.

Results

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.

“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

Solution

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data_models

Data integration

Sending data from multiple sources, including marketing platforms, CRM systems, and eCommerce platforms, into Google BigQuery.

04

Staff augmentation

Our experts seamlessly integrate into your organization, bringing specialized knowledge in data engineering, analytics, and cloud solutions to accelerate your projects.

05

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Data analytics

Our analysts review and analyze your data to uncover trends, patterns, and actionable insights.

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