Case Study: Rippling achieves a self-serve, trusted data culture (10x more data users, 50% faster insights) with Mode

Rippling builds self-serve data culture through access and accuracy

Rippling, a fast-growing workforce platform, faced slow, manual analytics that tied up engineering and slowed decision-making. Without a dedicated data team, RevOps leader Alex Netsch relied on raw exports, Excel cleanup, and repeated requests to engineers, creating a persistent bottleneck and preventing reliable, timely insights.

Rippling adopted Mozart Data’s out-of-the-box Snowflake-based stack and Mode for analytics, enabling a single source of truth and self-serve reporting for sales, marketing, and support. The change delivered faster, trusted metrics (like demos per month), drove a 10x increase in employee data use, cut time-to-insight by 50%, and saved about 30% versus building the stack in-house.

Rippling

Alex Netsch

Director of RevOps