Qlik on the menu at Burger King

Leading fast food chain Burger King has turned to Qlik to support its data and analytics business needs by consolidating data from different systems and improving the decision-making process at all levels within the business across all its restaurants.

“As a business, we identified three areas we needed to address. First was a way to quickly respond and correct issues that affect our restaurant efficiency and customer service. Second is to allow management to provide detailed daily reports to relevant staff. And third is to have a single source of truth from all our data sources. Partnering with Qlik has enabled us to address all these needs, and we are already seeing great results from using Qlik,” said Pavel Vasilyev, Deputy Head of Information Technology Department at Burger King Russia.

Burger King will be deploying Qlik Sense® across all local point-of-sale databases in 760 restaurants in Russia. This will allow managers and employees to see their restaurant performance indicators in real time and adjust their outputs if there are complaints or negative feedback from customers.

“We are excited to be working with Burger King to help them maintain their lead in the fast-moving fast-food market,” says Alexey Artemenko, Regional Director, Qlik Russia and CIS at Qlik. “With Qlik, the company is able to have a real-time view of a range of metrics such as revenue levels, sales of specific products and staffing levels, all to drive better performance and ultimately improve customer service in each of its restaurants.”

Qlik delivers a complete SaaS data analytics platform that sets the benchmark for a new generation of analytics. With a one-of-a-kind associative analytics engine, sophisticated AI, and high-performance cloud platform, Burger King can drive more value from its restaurants with Qlik, creating a truly data-driven enterprise.


Fujitsu has implemented Qlik to accelerate its data transformation processes and enable data-driven business operations across the entire organization.
Redis to collaborate with AWS on go-to-market activities for Redis Enterprise Cloud on AWS, which is designed to accelerate cloud migration and application development.
Samotics is starting the roll out of edge analytics for remote and offshore customers. By performing analytics on the edge, Samotics’ SAM4 Health solution benefits from reduced bandwidth requirements to process and transfer data, which makes it easily accessible in remote and offshore locations.
According to new research from the Infosys Knowledge Institute, companies can generate over $460 billion in incremental profit if they do three things: improve data practices, trust in advanced AI, and integrate AI with business operations. However, despite high expectations for data and artificial intelligence (AI), most companies fail to act on these areas to convert data science to business value.
New vertical solutions for Passerelle’s Data Rocket architected on Talend Data Fabric and the Snowflake Data Cloud.
New browser-based experience and support for cloud data platforms make it easier to enable every analyst to deliver insights from cloud data.
Enables business and IT leaders to extract precise business insights from data in real-time, in context, and at a massive scale.
Decision intelligence has the potential to improve stakeholders’ ability to make data-driven decisions by furnishing them with a self- service software platform designed to make the decision-making process easier, faster, more rigorous and more effective. To achieve this objective, decision intelligence requires a complete platform for data access and preparation, business analytics and data science. That is the conclusion of Navigating the Technology Behind Decision Intelligence, a new report from 451 Research | S&P Global Market Intelligence. The study is available from Pyramid Analytics, a pioneering Decision Intelligence platform provider, which commissioned the study.