How a Global Quick Serve Restaurant Increased Customer Engagement and Brand Loyalty | DataStax

Every customer interaction, including purchases, offer redemptions, web/mobile interactions, and emails, generates massive amounts of customer data, challenging the boundaries of traditional data management systems. In this session we’ll cover how implementing a real-time marketing data platform helped a global Quick Serve Restaurant (QSR) understand important customer signals, including behaviors, needs, and style to generate actionable insights for various applications in real time. We’ll provide an overview of the solution built with DataStax Enterprise covering the different platform components, including storage, stream processing, and data APIs, and how the components can be configured for various use cases.

Get notified when registrations open for DataStax Accelerate 2020: datastax.com/accelerate

About DataStax Accelerate:

DataStax delivers the world’s only active everywhere database for hybrid cloud. DataStax Accelerate is the best opportunity in the world to learn from a community that builds and uses DataStax, contributes
to Cassandra, and uses both to support the world’s largest web-scale applications across any cloud. To find out when registration opens for DataStax Accelerate 2020, please visit datastax.com/accelerate

About DataStax:

DataStax delivers the always-on, active-everywhere distributed hybrid cloud database built on Apache Cassandra™. The foundation for full data autonomy and personalized, real-time applications at scale, DataStax Enterprise makes it easy for enterprises to exploit hybrid and multi-cloud environments via a seamless data layer that eliminates the issues that typically come with deploying applications across multiple on-premises data centers and/or multiple public clouds.

We help many of the world’s leading brands across industries transform their businesses by eliminating data silos and powering modern, mission-critical applications.

For more information, visit www.DataStax.com and follow us on @DataStax.



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