Data-Driven — powering digital transformation
24 September 2025
Alexander Kuliev, an expert in data-driven transformation, talks about Burger King's experience of implementing a digital management system based on real-time data analysis. The algorithm takes into account 15+ factors: weather, time of day, local events, historical sales, and even traffic at restaurants. The introduction of a digital platform allowed flexible price adjustments up to several times a day, optimized demand, and minimized losses.
Results:
- Increase in marginality.
- Reduction of perishable goods residues.
- Speed up the processing of pricing decisions.
About the company
Alexander talks about a company that has come a long way in three years, from making decisions based on some heuristics to decisions based on digital data:
- Burger King has more than 800 restaurants in 200 cities in Russia.
- Data plays a key role in the transition from expert decisions to data-driven decision making.
Data volumes and infrastructure
- The classic DWH data warehouse is over 100 terabytes.
- A data lakehouse with a volume of over 500 terabytes is actively developing.
- The platform lives in the public cloud, making it one of Arenadata's largest public cloud installations.
Moving to data-driven decision-making
- Historically, data was accumulated, but there was no systematization.
- Moving from human decisions to statistical data.
- Objective: search for insights, data analysis, testing hypotheses to improve business.
Stages of transition
- Stage one: collecting and aggregating data from various systems. The business was already more than 10 years old, and the issues of collecting, analyzing and properly storing the information received began to acquire increasing importance.
- Step two: Setting up processes, roles and access for data users.
- Stage three: implementation of advanced analytics and automation.
