[Demo+Webinar] New Product Updates to Make Serverless Flink a Developer’s Best Friend | Watch Now
In order to improve its store operational real-time analytics, support global expansion goals, and implement more personalized marketing campaigns, Domino’s needed a robust enterprise data intake infrastructure that could simplify its data pipelines and provide robust data streaming capabilities through a single pane of glass.
Domino’s was already leveraging Apache Kafka® for some key customer behavioral messaging data pipelines but chose to upgrade to Confluent to enable more enterprise-grade capabilities for applications across the organization.
Domino’s is the recognized world leader in pizza delivery, driven by a data-first approach and relentless customer focus in everything it does. Domino’s operates more than 6,000 stores in the United States, 17,000 globally, and offers many different ordering channels, including smart devices, mobile apps, and social media. In order to improve its store operational real-time analytics, support global expansion goals, and implement more personalized marketing campaigns, Domino’s needed a robust enterprise data intake infrastructure that could simplify its data pipelines and provide robust data streaming capabilities through a single pane of glass.
Domino’s was already leveraging Apache Kafka® for some key customer behavioral messaging data pipelines but chose to upgrade to Confluent to enable more enterprise-grade capabilities for applications across the organization. Its first Confluent use case for the Enterprise Information Management team was to build a real-time store operations analytics platform so that franchise owners can observe what is happening at their stores at any given time. Domino’s then expanded its use of Confluent to enhance targeted marketing opportunities as it receives responses from various campaign activities through their numerous digital channels.
DriveCentric Builds Next-Generation Architecture for CRM with Confluent
EVO Banco's Award-Winning Banking Services Powered by Data Streaming
Confluent Helps ETC Reduce TCO by Optimizing Infrastructure and Operational Costs While Reducing Downtime Risk