Case Study: PAUL HEWITT accelerates eCommerce and data-driven marketing with Fivetran

Paul Hewitt accelerates eCommerce with Fivetran & Databricks

PAUL HEWITT, a European retail and CPG brand, needed a better way to manage rapidly growing digital marketing and business data as it shifted from traditional retail to eCommerce. Before Fivetran, the team was manually exporting advertising data from tools like Supermetrics into spreadsheets, a slow and error-prone process that made it hard to create a timely, holistic view of performance.

PAUL HEWITT implemented Fivetran with Databricks on Microsoft Azure, pulling data from channels such as Google Analytics 4, TikTok Ads, Instagram Business, Criteo, and Google Ads into a single source of truth for analytics and reporting. With Fivetran, the company automated data movement, improved data accessibility across the business, and reduced the need for manual maintenance—an efficiency gain estimated to save the equivalent of one full-time engineer’s salary, or about €60,000 to €80,000 per year.

PAUL HEWITT

Jan-Niklas Mühlenbrock

Team Lead, Business Intelligence & ERP