Case Study: Neat achieves $35,000 in first‑year savings and frees engineering resources with Fivetran

Neat Saves Engineering Resources, Amps Up Analytics

Neat, a Hong Kong–based digital wallet, struggled with siloed data across marketing tools, transactional databases, and support platforms that prevented a complete view of customers. To address this, Neat adopted Fivetran’s managed data pipeline to replicate multiple sources into Snowflake, enabling centralized, reliable access to the company’s data.

Fivetran connectors were deployed in days, avoiding an estimated 48 weeks of internal engineering work and the need for an additional full‑time ELT hire, and saving Neat roughly $35,000 in the first year and about $5,000 annually thereafter. With Fivetran centralizing data, Neat improved customer acquisition analysis, lifetime‑value modeling, funnel and support analytics, and engineering reporting—speeding time to insight and freeing engineers to focus on data science and higher‑value projects.

Neat

Giorgio Galvan

Data Lead