Case Study: New Frontier achieves faster agricultural futures insights with Google Cloud BigQuery and Looker

New Frontier ingests 10 million rows in months with Apigee

A major agricultural commodity brokerage, New Frontier, faced challenges with dated, siloed data and manual analysis processes on expensive legacy platforms. This hindered accurate market predictions and slowed down time-sensitive insights for their brokers and clients. To modernize and gain a competitive edge, they partnered with Google Cloud, adopting BigQuery and Looker.

Google Cloud implemented a solution using BigQuery as a scalable data warehouse and Looker for business intelligence and embedded analytics. This enabled New Frontier to rapidly ingest and analyze millions of rows of market data, providing internal teams and clients with on-demand, self-service insights. The results included the creation of a 10-million-row data platform in months, boosted returns through better data access, minimized costs and errors from manual work, and unlocked new data-monetization opportunities with a customer-facing app.

New Frontier