Case Study: a leading consumer health and wellness product manufacturer achieves 30% faster access to trusted data with Sigmoid's centralized data marketplace

a leading consumer health and wellness product manufacturer improves data discovery by 30% with Sigmoid

Sigmoid helped a leading consumer health and wellness product manufacturer overcome challenges with its fragmented data infrastructure. The company, which operates across self-care, skin health, and essential health segments, was grappling with slow data access, inconsistent reporting, and low data quality despite having rich datasets, which hindered its ability to gain real-time consumer insights.

The solution implemented by Sigmoid was a centralized data products marketplace built on systems including Snowflake, Alation, and Databricks. This platform curated data into reusable products with relevant metadata and quality scores. The results included a 30% improvement in data discovery efficiency and a 25% reduction in time spent on redundant reporting and data management activities.