Case Study: Global Luxury Fashion House achieves faster, deeper sales insights with Pythian

Luxury Fashion House Gets Deeper Insights Into Product Line Sales Performance

Global Luxury Fashion House, a century-old luxury retailer with billions in sales across stores, e-commerce, and third-party channels, needed a better way to understand omnichannel product-line performance. Its marketing team was spending about 100 hours a month manually pulling sales reports from multiple systems, with inconsistent data that made insights slow and unreliable.

Pythian implemented its cloud-native Enterprise Data Platform on Google Cloud Platform, using Google BigQuery and Tableau to integrate, clean, deduplicate, and automate reporting across sources such as Oracle, inventory systems, and Google Analytics. With Pythian, the company replaced the manual Excel process with automated daily data pipelines and more than 50 Tableau reports, cutting report creation from 100 hours per month to minutes and enabling faster, more reliable business analysis.