HOW TYSON FOODS SCALES SMARTER DATA-DRIVEN DECISIONS MADE FROM THEIR CORE ANALYTICS PLATFORM USING A SEMANTIC LAYER

Learn how one of the largest food supplies in the world has modernized their analytics technology stack. Tyson Foods uses a semantic layer to operationalize the concept of “data as code” across their business and to scale smarter decision-making from their core analytics platform.

In this webinar, Director of Data Strategy and Technology at Tyson Foods Chad Wahlquist discusses data-driven initiatives that have helped drive Tyson’s strategy forward. He shares the team’s building blocks on top of their data lake and gives an overview of their move from Hadoop to RedShift to Google BigQuery.

What you’ll learn

Chad shares his journey to a modern cloud analytics technology stack, his core design principles, and what’s next on his data roadmap.

You’ll hear from Chad about:

• His journey to a modern cloud analytics technology stack, his core design principles, and what is on his data capabilities roadmap
• How he creates business-friendly data views and makes data consumption easy for end-users in applications like Tableau
• The impact of current projects designed to improve automation and enable greater collaboration through cloud-native tooling
• His plan to move toward data-driven operations, prescriptive analytics, and autonomous decision-making.