How leading QSRs integrate big data

Data integration is a crucial step for quick serve restaurants to achieve operational efficiency – and to streamline collaboration with external organizations and business partners such as suppliers or delivery driver networks.

In order to ingest event data and make forecasting real-world aware, you’ll need to understand how to incorporate external data into your existing tech stack, or what additional tools you might need to add to your tech stack.

Master Big Data Integration as a QSR

A tech stack typically consists of tools used to find data and make it useful, such as a database, programming languages and frameworks, front and back-end tools, and applications connected via APIs. Companies leverage these tools to connect to third party data and combine it with their own, store the data, build models, visualize data, and use some form of geo-location.

Download the guide, Big data integration for QSRs, for a case study of how one North American fast casual chain integrates event data, detailing how to:

  • Prepare for integration
  • Choose an integration partner
  • Build and deploy models
  • Visualize the data
  • Geotag the data

Download the free guide

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