Case Study: Largest Food Retail Company achieves scalable, high-performance analytics with SoftServe’s SAP HANA to Google BigQuery migration

Sap hana migration Leverages google Bigquery for food Retail giant

Largest Food Retail Company, one of the world’s largest food retail companies and a leader in protein, needed stronger analytics capabilities while lowering IT costs. SoftServe helped address issues with limited end-user analysis tools, slow data onboarding, and capacity planning challenges that were holding back performance and scalability.

SoftServe recommended and implemented a solution combining SAP HANA, Google BigQuery, and AtScale, with ETL pipelines built in SnapLogic to move data from SAP HANA to GCP and BigQuery. The proof of concept showed improved end-user analysis capabilities and virtually unlimited scalability without capacity planning overhead, while also supporting better performance for analytics.