Trek Bicycle Accelerates Retail Analytics

The business has achieved impressive global growth, but the core values that made Trek Bicycle successful haven’t changed: it aims to provide an outstanding experience to customers and staff. To achieve this, it needs quick and reliable access to high-quality data.

However, as Trek grew it became increasingly affected by the rising costs and decreasing performance of its data warehouse. Specifically, running analytics on retail data was challenging as Trek relied on a platform that was not scaling cost-effectively, which impacted processing speeds.

By moving its data processing to the lakehouse and integrating data with Qlik, Trek has dramatically increased processing speeds and overall data availability. Instead of replicating enterprise resource planning (ERP) data once a week using bulk copies, Qlik helps to facilitate the process in near-real time.

Trek’s retail analytics solution used to take 48 hours to produce meaningful results. Today, Trek gets results in six to eight hours — an 80 to 90% improvement — with refreshes running three times a day, compared to only once a day previously.