Case Study: American multinational food manufacturer achieves stronger global marketing ROI with Sigmoid's brand health scorecard automation

American Multinational Food Manufacturer improves data quality by 85% with Sigmoid

Sigmoid helped an American multinational food manufacturer overcome its challenge of manually compiling brand health data from disparate external and internal sources. This outdated process was time-consuming, error-prone, and resulted in inconsistent data that required lengthy iterations, creating a need for a unified platform to track global marketing performance KPIs.

The solution involved developing an automated brand health scorecard on a robust AWS-powered data platform. Sigmoid's implementation, which featured data lakes built on Amazon Redshift and automation pipelines designed with AWS Glue, led to an over 85% increase in data quality and reduced data access time by up to 70%. This enabled monthly global reporting with granular, region-based insights.