Case Study: Tyson achieves self-service analytics modernization with KnowledgeLake

A KnowledgeLake Case Study

Preview of the Tyson Case Study

Tyson Foods Enhances Information Access With New Enterprise Content Management System

Tyson, the global food company, wanted to deliver self-service analytics to its 144,000 employees, but fragmented data across Hadoop, data lakes, and other platforms made it hard to combine information, support BI tools, and scale reporting. Tyson needed a more modern, governed data architecture to enable better decision-making and respond more quickly to market and supply chain changes.

KnowledgeLake helped Tyson unify siloed data with a semantic layer-based approach, creating a governed, analysis-ready data model with centralized calculations, metrics, hierarchies, and governance. The solution improved self-service BI, reduced errors and conflicting analyses, supported migration from Hadoop to Amazon Redshift and then Google BigQuery without disrupting users, and helped analysts test new ideas in hours instead of days.


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Tyson

Rebecca Wilson

Project Leader, Productivity Management Group


KnowledgeLake

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