Case Study: a leading American food manufacturer of 65 brands boosts on-time delivery with Sigmoid's data mesh architecture

a leading american food manufacturer of 65 brands improves data usability by 60% with Sigmoid

A leading American food manufacturer faced challenges in inventory management due to poor data quality and siloed information across multiple systems. They needed to consolidate disparate data sources to gain real-time insights for supply chain optimization. Sigmoid was engaged to address this challenge.

Sigmoid implemented a data mesh architecture to enable data-as-a-product, modernizing the client's data infrastructure. This decentralized approach connected data from over 30 source systems across business domains, fostering greater ownership and scalability. The solution, driven by DataOps practices, delivered significant results: a 40% increase in on-time product delivery, 60% higher data usability, and the identification of three times more advanced analytics use-cases, ultimately reducing inventory costs by 15%.