Dachstein Salzkammergut cable cars accelerate data analytics with Qlik Cloud

Moving around one million visitors each year across more than 40 cable cars and lifts generates vast amounts of data every day, including ticket sales, access records, rides, timestamps, locations, and product information. While the data was available, the existing standard reporting offered only limited analytical capabilities. Reports were highly aggregated, lacked flexibility, and answering ad hoc business questions often required manual work in Excel.

The goal was to replace the existing reporting with a dedicated analytics solution that business users could easily understand, that delivers high performance even with large data volumes, and that enables the team to respond to new reporting requirements more quickly on its own. At the center of the project was one key question: What is happening across the operation, when is it happening, and what decisions can we make based on these insights?

Dachstein Salzkammergut cable cars

Dachstein Salzkammergut cable cars operate several of the best known mountain and leisure destinations in the Austrian states of Upper Austria and Salzburg, including Dachstein West, Feuerkogel, Grünberg, Dachstein Krippenstein, and Wurbauerkogel. With a wide range of outdoor, sports, and leisure activities, the company delivers memorable visitor experiences throughout the summer and winter seasons, welcoming guests 365 days a year.

The limits of standard reporting: Data without context

The existing reporting solution was based directly on the SKIDATA environment and had reached its limits. Reports were highly aggregated, performance declined as data volumes grew, and users had only limited flexibility to answer specific business questions. Most importantly, the data lacked business context. For example, which season should an admission on a transition day be assigned to? Which ticket categories and visitor groups are behind the numbers? Which locations, time periods, and products are truly relevant?