Case Study: Kellogg's achieves faster marketing insights with Sigmoid's centralized data lake

Kellogg's speeds marketing insights 2.5x with Sigmoid

Kellogg's, a Fortune 500 food manufacturing firm, faced a challenge with its marketing data, which was manually ingested from over 30 disparate sources without a consistent template. This process hindered data quality and slowed down analysis, preventing the marketing team from gaining timely insights to optimize advertising spend. They partnered with data engineering firm Sigmoid to automate data collection and create a centralized solution.

Sigmoid built a centralized data lake using AWS services like Lambda, Glue, and Redshift to automate ingestion and create standardized data models. This solution provided Tableau dashboards for interactive visualizations. The results for Kellogg's included a 50% faster data collection process and a 2.5x faster turnaround time for generating insights, enabling granular analysis of over 10 different marketing tactics.

Kellogg's