Fivetran
207 Case Studies
A Fivetran Case Study
Sennder, Europe’s leading digital freight forwarder, needed a scalable way to centralize and automate data as the company hypergrew and data requests multiplied across teams. The logistics company adopted Fivetran with Snowflake to automate ingestion from systems like Salesforce, Okta, Google Analytics 4, PostgreSQL, NetSuite SuiteAnalytics, Google Sheets, and more.
With Fivetran, Sennder moved to a data mesh model, creating around 30 data marts and enabling self-service analytics across the business. The results were significant: Sennder saved at least €100,000 per year, empowered more than 80% of employees to use 30,000+ dashboards, and gained reliable data for machine learning models that can predict shipper costs and personalize carrier offers.
Christian Haas-Frangi
Staff Software Engineering Manager