How SD Worx Uses Snowflake AI Data Cloud to Power HR Analytics for 105,000 Customers

SD Worx serves as the HR and payroll infrastructure for roughly 105,000 organizations across Europe, processing payroll and workforce data for approximately 6 million employees. At that scale, the quality and speed of data analytics are directly tied to the value SD Worx can deliver to customers — and to the competitiveness of the platform itself.

Before migrating to Snowflake, SD Worx operated a data environment that made it difficult to give customers timely visibility into their workforce data. The existing infrastructure required significant engineering effort to maintain, and customer-facing analytics were limited in scope and speed.

SD Worx rearchitected its data environment on Snowflake AI Data Cloud running on Azure. The team integrated dbt for data transformation, Azure Data Factory for pipeline orchestration, and Apache Airflow for workflow management. Power BI dashboards connected to Snowflake now surface HR and workforce KPIs directly to customer stakeholders. The migration enabled SD Worx to launch new data-driven service offerings — turning analytics from a cost center into a revenue-generating product line.

The results were measurable across both scale and commercial dimensions. SD Worx now provides data insights to 650,000 employees through its platform, serves 7,000 customers with actionable HR analytics, and has reduced the time and cost required to deliver employee lifecycle visibility. The platform also opened new recurring annual revenue streams from expanded analytics offerings. As Katrien Hesters, Product Manager at SD Worx, stated: "Snowflake has become a major technology asset. It enables us to provide what our customers need."