How SD Worx Uses Snowflake AI Data Cloud to Power HR Analytics for 105,000 Customers
SD Worx, the European HR, payroll, and workforce management provider serving approximately 105,000 customers and 6 million employees, migrated its analytics infrastructure to Snowflake AI Data Cloud on Azure. Using Snowflake alongside dbt, Azure Data Factory, Apache Airflow, and Power BI, SD Worx consolidated fragmented HR data into a governed platform — enabling 650,000 employees to receive data-driven insights, serving 7,000 customers with actionable HR analytics, reducing time-to-insight, and generating new recurring annual revenue from expanded data service offerings.
Impact
650,000
Employees supported with data insights
7,000
Customers served with HR analytics
Recurring annual revenue
New revenue stream
Challenge
SD Worx's legacy data infrastructure made it difficult to deliver timely, governed analytics to 105,000 HR customers across Europe — limiting the scope and speed of workforce insights and preventing SD Worx from monetizing its data assets at scale.
Solution
SD Worx migrated to Snowflake AI Data Cloud on Azure with dbt, Azure Data Factory, Apache Airflow, and Power BI — creating a governed analytics platform that serves 650,000 employees and 7,000 customers with actionable HR insights and enabling new recurring revenue from data service offerings.
Tools & Technologies
What Leaders Say
“Snowflake has become a major technology asset. It enables us to provide what our customers need.”
“We exist to help organizations manage their people processes more efficiently.”
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Full Story
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."