Case Study: a multinational consumer goods manufacturing company improves data quality and decision-making with Sigmoid's enterprise-grade data quality platform

multinational consumer goods manufacturing company cuts data quality check time by 99% with Sigmoid

The customer, a multinational consumer goods manufacturing company, faced significant challenges with inaccurate data impacting its strategic decision-making. Their existing data pipelines processed vast amounts of data, but discrepancies in reporting and insights led to flawed analyses. Addressing data quality issues was a slow process, taking approximately 10 hours. Sigmoid was engaged to deploy its data quality management platform to solve this business challenge.

Sigmoid implemented an enterprise-grade data quality management platform that logically organized data and improved its structure. The solution provided seamless integration with diverse sources and self-service capabilities for business functions to manage datasets and apply quality rules. This resulted in a 99% improvement in processing speed for data quality checks and automated diagnostic reports. Sigmoid's platform also scans and processes 1.5 TB of data per day, drastically reducing the time required to fix data issues.