Snowflake Data Platform Drives €10 Million in Incremental Revenue for Global Door and Window Manufacturer

Jeld-Wen, a manufacturing leader producing doors and windows across North America and Europe with over 18,000 employees, faced a critical challenge after rapid global expansion through multiple acquisitions. The company's data infrastructure had become fragmented across disparate legacy systems, creating what Graham Whetton, head of analytics and data for Europe, described as "data rich but information poor." Teams struggled to answer fundamental business questions about market performance, customer behavior, and pricing strategies. Critical pricing decisions were made without itemized visibility into individual product costs—including materials, labor, energy, and overheads—resulting in blanket pricing adjustments applied across all products rather than informed, segment-based pricing.

To address this challenge, Jeld-Wen implemented Snowflake as the backbone of its enterprise data platform, consolidating more than 35 legacy systems into a single source of truth. The analytics team built a comprehensive margin data model within Snowflake, then created a Tableau dashboard that enabled employees across the organization—from individual sales representatives to the CFO and CEO—to access relevant data instantly without navigating complex filters. This transformation fundamentally changed how Jeld-Wen approached pricing. Rather than applying blanket rate increases, the company began adjusting prices by product groups based on data-driven insights into margins, market positioning, and competitive dynamics. This strategic shift in pricing methodology resulted in €10 million in incremental revenue while simultaneously improving market competitiveness and customer retention.

The impact of Snowflake extended beyond pricing optimization to reshape organizational culture around data-driven decision-making. By replacing the previous QlikView system—which required five different filter clicks to generate an accurate sales number—with an intuitive Snowflake-powered dashboard, the platform democratized data access across Jeld-Wen's workforce. Cost discipline remained central to the strategy through Snowflake's built-in optimization features, including auto-scaling, auto-resume, and auto-suspend capabilities, which provided granular visibility into spending and made queries more cost-effective as usage grew exponentially. Whetton noted that "Snowflake has made a transformational change in how employees think about data," enabling teams to trust and rely on data for everything from daily tasks to strategic initiatives. With this foundation in place, Jeld-Wen expanded its analytics capabilities and planning scope to include stock analysis, raw material pricing forecasting, and secure data sharing initiatives—positioning the company for continued revenue growth and operational optimization.