CASE STUDY November 5, 2024
The evolving landscape of data analytics necessitates that organizations adopt more flexible, scalable, and cost-effective solutions. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data. To thrive, organizations must modernize their critical applications, replacing legacy systems with cloud-native solutions that offer better scalability, fault tolerance, and security. This case study describes how Victoria’s Secret & Co. (VS&Co) and Tiger Analytics executed a digital transformation of VS&Co’s analytics ecosystem and outlined the challenges, pitfalls and strategies in executing a seamless migration from the on-premises model to Azure and Snowflake.
Over a period of 10 months, VS&Co was able to transition out of legacy on-prem systems with a 100% success rate on all workloads. Significant benefits have been realized since migration, including a 34% reduction in compute costs, the establishment of a secure and scalable platform, and high adoption within the Data Science team to train, test and deploy critical workloads on Azure and Snowflake stack.
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