Case Study: a global agricultural equipment manufacturer achieves trusted, unsampled web analytics with NeenOpal

Global Agricultural Equipment Manufacturer cuts data query time by 90% with NeenOpal

The client, a global agricultural equipment manufacturer, was unable to trust its Google Analytics 4 data due to sampling, a lack of reliable dashboards, and undefined conversion tracking for its B2B website. This lack of a trusted data foundation meant internal stakeholders were making critical website and content decisions without confidence in the underlying metrics.

NeenOpal engineered a modern data pipeline from GA4 through BigQuery into a multi-layer Snowflake data warehouse, eliminating data sampling. They delivered a suite of Power BI dashboards with role-level security, providing trusted, unsampled web analytics for the first time. This solution resulted in a 90% reduction in data query time and 10x faster report generation, allowing the client to make confident, data-driven decisions.