Build deeper business insights with in-app analytics and real-time business visibility
In today’s competitive digital ecommerce landscape, retailers are fighting for the attention of shoppers who are tech-savvy, mobile, and receiving ads for hundreds of deals and promotions across multiple platforms every day.
Today’s consumers expect personalized digital shopping experiences that offer dynamic and relevant recommendations, too. Modern retail applications will be defined by their ability to drive better customer experiences, surface insights, and take action directly within the application on live operational data, in real time. As analytics “shift left” to the source of the data, application developers take on the task of delivering next generation data analytics to their organizations.
Application-driven analytics can be leveraged to meet two broad use cases: In-App Analytics and Real-Time Business Visibility. This paper reviews:
- How retailers can improve internal operations using the capabilities of the MongoDB developer data platform through both in-app analytics and real-time business visibility
- A personalization use case that includes integration with external machine learning engines like Amazon SageMaker and Databricks
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