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How Kraft Heinz Saved 5,500 Hours with Analytics Automation

If you know what your customers want, you can meet demand while maintaining loyalty and brand value.

It’s easier said than done — unless you turn to analytics automation.

That’s what Kraft Heinz did. In partnership with Alteryx partner, Tessellation, Kraft Heinz improved sourcing decisions and saved thousands of hours of manual work.

Join Kraft Heinz, Tessellation, and Alteryx for a discussion on:

  • Integrating disparate sources like SAP and Snowflake to free up valuable time
  • Cutting down on forecasting errors and improving forecasting across your supply chain to optimize revenue
  • Overcoming common analytic automation challenges and gaining efficiencies across your business
 

Recommended Resources

 
Blog Post
Mind the Margin Gap: Why True Cost-to-Serve is Retail’s Blind Spot
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E-Book
Powering Pharmaceutical Innovation with Automated Analytics and AI
Discover how pharmaceutical organizations use automated analytics and AI to unify data, accelerate clinical development, optimize operations, and improve decision-making across the drug lifecycle.
  • Analytics Automation
  • Data Prep and Analytics
  • Process Automation
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Predictive Maintenance
Predict equipment failure before it happens. Alteryx One connects sensor, IoT, and maintenance data so teams can predict downtime, extend asset life, and improve productivity.
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Emissions and Waste Reporting
Automate environmental reporting with Alteryx One. Standardize Scope 1 and 2 calculations, unify energy and waste data, and create audit-ready reports quickly and accurately.
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Tariff Risk Mitigation
Alteryx connects trade, supply, and compliance data into governed workflows. Teams model tariff scenarios, automate duty drawback claims, and act faster to reduce risk and cost.
  • Analytics Automation
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Use Case
Supply Chain Cost Optimization
Lower cost-to-serve by aligning supply chain planning with financial targets. Alteryx One combines operational data, forecast inputs, and cost models in one governed environment, enabling teams to build scenarios, test constraints, and compare outcomes to cut spend and increase transparency.
  • Analytics Automation
  • Data Prep and Analytics
  • Data Science and Machine Learning
Learn More