Qlik > Case Studies > Restaurant efficiency improves service

Restaurant efficiency improves service

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Company Size
1,000+
Region
  • Europe
Country
  • Russia
Product
  • Qlik Sense
  • QlikView
Tech Stack
  • Business Intelligence
  • Data Consolidation
  • Data Reporting
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Retail
Applicable Functions
  • Sales & Marketing
Use Cases
  • Demand Planning & Forecasting
  • Predictive Quality Analytics
  • Real-Time Location System (RTLS)
Services
  • Data Science Services
  • System Integration
About The Customer
Burger King Russia is a leader in the Russian fast food market. It opened its first Russian premises in 2010 and has launched 100 new restaurants every year since 2015. The chain now consists of 760 outlets across 300 cities and six time zones. The main goal of Burger King Russia is to combine rapid regional expansion with profitability. This relies on making sound data-driven business decisions. It needs data to provide its 200 area managers and 760 restaurant managers with all the facts, figures, and market trends they need to run successful restaurants. In the other direction, it also needs to receive quick feedback from them on new initiatives because Burger King’s business development strategy is based on ‘quick wins’ with measurable results rapidly digitized as a basis for planning next steps.
The Challenge
Burger King Russia, a leader in the Russian fast food market, has been rapidly expanding its operations, launching 100 new restaurants every year since 2015. The chain now consists of 760 outlets across 300 cities and six time zones. The main goal of Burger King Russia is to combine rapid regional expansion with profitability, which relies on making sound data-driven business decisions. It needs data to provide its 200 area managers and 760 restaurant managers with all the facts, figures, and market trends they need to run successful restaurants. In the other direction, it also needs to receive quick feedback from them on new initiatives because Burger King’s business development strategy is based on ‘quick wins’ with measurable results rapidly digitized as a basis for planning next steps. However, Burger King Russia needed to transform and streamline its approach to data and reporting and saw business intelligence (BI) as the way ahead.
The Solution
Burger King Russia turned to Qlik to fulfill its needs for a highly performant and flexible business intelligence solution. The company started with QlikView for its reporting capabilities but has since moved to Qlik Sense. The analytics modernization from QlikView to Qlik Sense was masterminded by Qlik’s Russian partner, Qlever. The shift to Qlik Sense offered greater architecture flexibility, allowing additional servers to be connected quickly and easily, giving access to an increased number of better quality data sources. Also, Qlik Sense empowers users to create apps based on their own data needs and then publish them for use elsewhere in the business. The BI solution powered by Qlik has become the basis for a unique, large-scale restaurant chain management system powered by many indicators. Managers have access to objective, demonstrable, and timely information connected to their work, which ensures they remain engaged in improving the company’s efficiency.
Operational Impact
  • The BI solution powered by Qlik has become the basis for a unique, large-scale restaurant chain management system powered by many indicators.
  • Managers have access to objective, demonstrable, and timely information connected to their work, which ensures they remain engaged in improving the company’s efficiency.
  • The company now makes many more data-driven decisions quickly and regularly and can define its data requirements from this.
  • All restaurants now receive detailed daily reports. To increase speed, the BI team connects to local point of sale (POS) databases rather than a central database that consolidates data at the end of the day.
Quantitative Benefit
  • No more than 15 minutes pass between an event occurring in any of the 760 restaurants and it being registered in reports.

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