Grocery Chain Modernizes Data Capabilities by Accelerating Migration to Snowflake; Achieves Significant Cost Savings & Advanced Insights & Capabilities

A Northeast Region grocery chain with close to 200 locations and 23,000 employees wanted to modernize its data cloud architecture to scale its advanced analytics capabilities and set the foundation for the use of machine learning and AI applications in the near future.

By migrating from an outdated environment into Snowflake in 30 days, the new Modern Cloud Data Architecture resulted in improved analytics performance, expansion of advanced analytics capabilities, and significant cost savings.

The company’s legacy Oracle Exadata data warehouse did not offer the scalability, power, nor potential for advanced analytics capabilities needed to run a modern grocery chain. Costs to operate the legacy systems were increasing, and the company struggled to find resources to support the legacy systems.

Armeta migrated and replatformed 7TB of the company’s legacy Oracle Exadata data to Snowflake in 30 days, modernizing the company’s data cloud architecture. The Modern Cloud Data Architecture enables speed of thought analytics and insights vs. the limitations of row and column reports.  

Armeta used its proprietary Cloud Migration Accelerator™ to move and replatform the company’s sales and transactions data, labor data, and budget data, in a fraction of the time compared to our benchmark competitors.

• Improved advanced analytics performance — lightning-fast complex queries.
• Expanded advanced analytics capabilities in sales, labor planning, and budgeting.
• Cost savings from eliminating legacy data warehouse.

The customer’s decision to modernize its data cloud architecture and migrate to Snowflake established a strong foundation for advanced analytics capabilities that will improve merchandise planning, optimize labor management and allocation, improve their budgeting process, and increase sales.