Movie tickets, popcorn and soft drink purchases, and the most popular films in presale. These are just a few examples of the data Pathé wants more insight into. Together with E-mergo, the largest cinema chain in the Netherlands is therefore currently working intensively on the data warehouse TimeXtender and the BI tool Qlik Sense. An additional challenge was that both the old and new point-of-sale systems had to be connected to it, without moviegoers noticing anything at all.
- Client: Pathé
- Industry: Cinemas
- Product applied: TimeXtender, Qlik Sense
The Result
2 point-of-sale systems
Data from 2 point-of-sale systems is processed in one central place in TimeXtender, so nobody notices the switch from one system to the other.
Near real-time
TimeXtender sends near real-time data to Pathé's All Stars app for visitors, so earned loyalty points are credited to visitors right away.
Getting started independently
Through training and coaching, Pathé's data specialists are able to expand and maintain TimeXtender themselves.
You don't need much technical knowledge to work with TimeXtender
Rick Stammes has been a data analyst at Pathé since 2017. Together with a large team, he'd been working on an ambitious data strategy for some time. "With external consultants and data scientists, we'd already made good progress predicting visitor numbers and creating suitable recommendations for moviegoers. The sky was the limit! But then came COVID." Cinema halls stood empty, revenue dried up, and the external team had to stop working on the project. "My role changed after that," says Stammes. "We didn't want to lose the knowledge we'd gained, so we carried the data strategy forward with a small team."
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