Case Study: Quotient improves data performance and scalability with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Quotient Case Study

Quotient Optimizing advertisers' and retailers' digital campaigns with an integrated solution

Quotient, a US technology company formerly known as Coupons.com, needed to unify data across siloed environments created through mergers and acquisitions so its global teams could access a single, scalable platform. To improve its proprietary analytics and reporting, Quotient migrated to Google Cloud Platform, using services such as BigQuery, Google Cloud Storage, Dataplex, and Google Kubernetes Engine.

Google Cloud Platform helped Quotient consolidate workloads and data into a modern cloud environment, improving governance, performance, and resource utilization. The migration moved 2PB of enterprise data to BigQuery in six months, helped maintain 99% of SLAs, cut batch in-memory cube processing to under 60 minutes, improved audience segmentation performance by 35%, and reduced processing time by 40%.


View this case study…

Quotient

Rashmi Joshi

Technical Lead of Data Engineering


Google Cloud Platform

2948 Case Studies