Case Study: GlobalFoundries boosts sales performance with Sigmoid's AI-powered data imputation

GlobalFoundries boosts sales performance by 17% with Sigmoid

Sigmoid helped GlobalFoundries, a leading semiconductor manufacturer, which faced significant data quality issues. With close to 500,000 new data records added daily, their product master table had many missing values. Manually filling these gaps with over 15 global teams resulted in high costs and significant errors, impacting cost estimation and revenue forecasting.

Sigmoid implemented a solution using Amazon’s neural network-based deep learning library, Datawig, to predict missing values with high accuracy. This solution was productionized on AWS Cloud. The results were substantial, including a 17% increase in sales opportunity closures and the accurate analysis of over 6 million new data records in real time. Sigmoid’s approach saved time and cost while significantly improving revenue forecasting accuracy.

GlobalFoundries