Case Study: Lendi achieves faster data-driven decision-making with Fivetran

Lendi makes data-driven decisions with Fivetran

Lendi, an Australian mortgage broker in the financial services industry, needed a faster way to unify behavioral and advertising data from platforms like Facebook Ads, Google Ads, Google Analytics, and Microsoft Advertising so teams across the business could make better decisions. With siloed, inconsistent data creating delays and extra cleanup work, the company wanted a simpler way to give marketers, accountants, brokers, and customer service staff reliable insights without pulling engineering away from core product work.

Using Fivetran with Snowflake, Lendi automated data ingestion from third-party platforms into a centralized warehouse, enabling an ELT approach and self-service analytics across the organization. Fivetran reduced connector setup time to less than 30 minutes versus days or weeks for custom builds, helping Lendi fill nearly any data request within an hour, improve operational efficiency, and keep engineering focused on its proprietary technology.

Lendi

Daniel Deng

Data Architect