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Submission: On April 29 via api from US — Scanned from DE
Submission: On April 29 via api from US — Scanned from DE
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whitepaper
APPLICATION-DRIVEN ANALYTICS: IN-APP AND REAL-TIME INSIGHTS FOR RETAILERS
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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
Fill in the form with your details to read the white paper.
Download paper
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