# Order.co Achieves 7x Faster Analytics with Snowflake Migration > By leveraging Snowflake, Order.co has drastically improved its analytics capabilities, empowering over 200 users with faster, more reliable insights while setting the stage for future innovations in procurement technology. **Source**: snowflake.com | **Published**: 2026-09-03 | **Type**: case_study ## Key Facts - Order.co achieved 7x faster analytics, enhancing decision-making speed and operational efficiency. - Migrated 9,000 dashboards in 2 months, showcasing effective resource management and scalability. - Consolidation to Snowflake reduced operational complexity, revealing vulnerabilities in legacy systems. - Migrating 5 TB of data with minimal disruption indicates strong project management and risk mitigation. - AI-driven migration tools saved time, positioning Order.co for future innovation and competitive advantage. ## Summary \## Summary Order.co, an AI-powered procurement platform, faced challenges with slow analytics and operational disruptions due to resource contention in its existing data warehouse. By migrating to Snowflake, they achieved analytics performance improvements of 2 to 7 times, enabling over 200 users to access data faster and streamlining their operations. \## Background Order.co operates in the technology sector and is based in New York, NY. As a company focused on simplifying procurement and spend management, it serves a diverse range of clients, from small businesses to national chains. Before deploying Snowflake, Order.co struggled with a legacy data warehouse that could not efficiently support its growing analytics needs. \## Challenge The primary challenge was the operational risk posed by resource contention in their Redshift environment, which hindered ad hoc analytics and disrupted production pipelines. The existing infrastructure was costly and complex, making it difficult to scale effectively. \## Solution Order.co implemented Snowflake to consolidate its analytics and streamline operations. The migration was organized into six phases, starting with foundational data layers and culminating in the transition of analytics and machine learning workloads. With Snowflake's independent virtual warehouses, the company eliminated production interruptions and simplified its architecture, moving approximately 5 TB of data in just two months. \## Results The migration resulted in analytics queries running 2 to 7 times faster, significantly enhancing the speed at which over 200 users received answers. Additionally, the team successfully migrated nearly 9,000 dashboards with minimal disruption, allowing for improved data reliability and freeing engineers to focus on developing AI-driven analytics. \## Key Insights Key takeaways from Order.co's experience include the importance of a phased migration strategy to minimize disruption, the value of leveraging AI for data validation during migration, and the need for careful planning around workload isolation and resource management to maximize efficiency. \## Customer Testimonial “The AIM migration agent in Snowflake CoCo saved us a tremendous amount of time. Not just generating migration code, but validating data quality by comparing results before and after migration.” — Victor Darmadi, Staff Data Engineer at Order.co ## Entities - **Companies**: Order.co, Snowflake - **Products**: Snowflake AIM, Snowflake CoCo, Metabase - **Technologies**: AI, dbt, JSON - **People**: Victor Darmadi, Krishna Ramaswamy ## Key Concepts Procurement, Analytics Performance, Data Migration, AI Integration, Operational Efficiency, Data Warehousing, Conversational Analytics, Business Intelligence ## Definitions - **Procurement**: The process of acquiring goods and services, often involving purchasing and spend management. - **Data Migration**: The process of transferring data between storage types, formats, or systems, often during upgrades or consolidations. - **Conversational Analytics**: An approach to data analysis that allows users to interact with data using natural language queries. - **AI Integration**: The incorporation of artificial intelligence technologies into existing systems to enhance functionality and efficiency. - **Data Warehousing**: A system used for reporting and data analysis, centralizing data from multiple sources for business intelligence. ## Use Cases - Faster analytics queries - Automated dashboard conversion - Data validation post-migration - AI-powered procurement solutions - Improving compute efficiency - Building new AI-driven capabilities ## Frequently Asked Questions **What benefits did Order.co see after migrating to Snowflake?** Order.co experienced query performance improvements of two to seven times, which significantly enhanced their analytics capabilities. Additionally, the migration allowed for better operational efficiency and reduced administrative overhead. **How did AI play a role in Order.co's migration?** AI was central to the migration process, particularly through the use of Snowflake AIM migration agents and CoCo, which automated dashboard conversion and validated data quality. This reduced the time and effort needed for the migration. **What challenges did Order.co face with their previous data warehouse?** The previous Redshift environment struggled with resource contention, leading to production interruptions and operational risks. This made it increasingly difficult to scale and manage workloads effectively. **What strategies did Order.co use for their migration?** Order.co employed a phased lift-and-shift strategy, migrating workloads in six waves to minimize disruption. They also ran legacy and new platforms in parallel to reduce business risk during the transition. **What are Order.co's future plans with Snowflake?** Order.co plans to optimize dbt workloads, improve compute efficiency, and develop new AI-powered experiences for business users. They aim to leverage their modern data platform to innovate and scale intelligent applications. ## Links - [Read on Welcome.AI](https://welcome.ai/content/orderco-achieves-7x-faster-analytics-with-snowflake-migration) - [Original source](https://www.snowflake.com/en/customers/all-customers/case-study/order-co/) - [Snowflake](https://welcome.ai/company/snowflake): Featured company --- Source: Welcome.AI | https://welcome.ai/content/orderco-achieves-7x-faster-analytics-with-snowflake-migration