At the company, it took 6 hours to create analytical reports, so even the industry-standard performance of each restaurant could not be seen until the next day. Slow reporting prevented rapid decision-making and hindered the spread of data use culture across the company. The creation of reports required manual labor - staff collected data from the restaurants and compiled it into a single report, what led to human error.

The key goal of the project was to reduce the time required for analytical reporting.

The company does not have a single accounting system that would consolidate data on the work of all restaurants. Therefore, to automate reporting, a set of applications was developed on Qlik platform that connect directly to local servers in restaurants, collect data from them and calculate indicators.

The use of a Qlik-based analytical system has reduced the reporting time from 6 hours to a few minutes. Updated data is available to managers every 30 minutes. Data is automatically loaded and transformed, eliminating human error. The rapid delivery of insights has opened up a whole new range of ways to use the data. The introduction of BI was the first step in creating the analytical culture at the restaurant chain.