Case Study: Yoco achieves simplified, scalable analytics and faster workflows with Sisense for Cloud Data Teams

Yoco Simplifies Workflows with Data Warehouse

Cape Town fintech Yoco provides mobile card readers and payment tools to more than 18,000 small and medium businesses and has processed over $170M in transactions. Rapid growth created massive transactional datasets, and their operational database struggled with slow, failing analytical queries and painful cross-database joins—blocking data science, timely reporting, and a single source of truth.

Yoco moved its data into Amazon Redshift and adopted Sisense for Cloud Data Teams to unify warehouse and visualization. The new platform simplified pipelines, eliminated join and timing-out issues, and delivered fast, reliable dashboards used across the company—saving engineering time, enabling scalable growth, and paving the way to embed insights for merchants and adopt advanced analytics like Python-based ML.

Yoco

James Kramer

Vice President of Risk & Data