Case Study: Mayvenn achieves rapid ETLT iteration and analyst independence with Ascend.io

How Mayvenn uses Ascend.io to simplify rapid ETLT iteration of business-critical data sources for analysis in minutes

Mayvenn, a data-driven platform that connects stylists and customers, struggled to iterate ETLT pipelines quickly—relying on engineering resources and a complex Alooma-based orchestration that blocked fast changes. These dependencies slowed analysis and required heavy coordination between data analysts and the engineering team. Ascend.io was engaged to address this bottleneck.

Ascend.io delivered the Ascend Unified Data Engineering Platform, a visual, interactive UI that empowered Mayvenn’s analysts to build and modify pipelines themselves; within a month analysts were working deeply in the platform and could adjust data and be working with it within an hour. The result was faster, more cost-effective pipeline iteration, reduced reliance on the engineering queue, quicker time to analysis, and greater ownership of business and strategic data needs.

Mayvenn

Geoff Aoyagi

Senior Director of Data and Analytics