Case Study: Spoke saves time and money with Kleene.ai

Spoke - Customer Case Study

Spoke, a direct-to-consumer menswear brand, faced challenges with a complex legacy data stack. With data spread across multiple sources and unstructured in temporary tables, their system was inefficient and lacked scalability. Their small data team needed a streamlined, easy-to-maintain solution to consolidate their data and support the business's growth, prompting them to partner with Kleene.

Kleene implemented a robust and scalable data pipeline, centralizing Spoke's data sources into a single source of truth. This new stack, which included Snowflake and Looker, dramatically improved performance and provided real-time access to data. The results were significant: dashboard load times were reduced from five minutes to under one minute, and Spoke brought its marketing attribution capabilities in-house, saving over £2,000 per month.

Spoke

Alisha Sukhwani

Commercial Analytics