Objectives
Gathering actionable data from more than 650 stores spread throughout the USA, Europe, and UK was a huge problem. Time zones, operating styles of three business brands, and different information systems created remarkable challenges. Covid-19 made it even worse, because of store closures and inconsistent pandemic strategies.
“We were dealing with many different systems and technologies, so we could not easily gather, explore, or learn from information,” said Director of Workforce Management, Joanna Matthy. “It meant that reports had to be cobbled together which took a lot of administrative time.”
Solution
Urban Outfitters migrated to a Snowflake cloud fed by Qlik Data Integration. They could stream 50 GB of data per day from all those on-premises data sources.
Qlik Data Analytics became the company standard for in-store reporting and data analysis.
Working together, the two Qlik solutions created unprecedented access to critical data and enabled more informed action. Reports that took hours, now take minutes.
Results
- Qlik Data Integration enables small packets of data to be constantly streamed to the cloud rather than a big-bang approach that takes hours.
- Previously, data could only be manipulated once the ETL (extract, transform, load) process had started, which meant hours of delay. Now, it takes fewer than five minutes for distribution centres, and at most 15 minutes for the order management system (OMS).