Case Study: DairyNZ delivers faster, AI-ready dairy science with Posit and Snowflake

A Posit PBC Case Study

Preview of the DairyNZ Case Study

DairyNZ delivers data 4X faster with Posit

DairyNZ, an organization supporting New Zealand's dairy farmers, faced challenges with massive datasets and slow reporting. They relied on Excel spreadsheets and a small team of statisticians, which led to siloed insights and delays of up to 24 months in providing data to farmers. This outdated process hindered the ability to make timely, informed decisions for sustainable farming. To modernize, they partnered with Posit and implemented Posit Workbench and Posit Connect.

The solution involved rebuilding their data science foundation on a cloud-based infrastructure with Posit and Snowflake. This provided secure, scalable compute for large simulations and a centralized environment to publish dashboards and reports. As a result, DairyNZ now delivers reports 4X faster, moving from annual updates to quarterly ones. This has enabled farmers to make more informed decisions on input purchases and track profitability, significantly impacting the sustainability and profitability of their businesses.


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