What is application-driven analytics?
By building smarter apps and increasing the speed of business insights, you can out-innovate your competitors and improve efficiency.
But doing this means you can no longer rely only on copying data out of your operational systems into separate analytics stores. That's because moving data takes too much time.
Instead, analytics processing has to be “shifted left” to the source of your data – to the applications themselves. We call this shift application-driven analytics.
MongoDB Atlas makes it easy to bring analytics into your applications. It unifies the core data services needed to bridge the traditional divide between transactional and analytical workloads in an elegant and integrated data architecture.
In-App Analytics
End users expect insight-driven experiences that don't sacrifice speed. They want an accurate estimated time of arrival in their ride-sharing app or a hyper-personalized ecommerce shopping experience. These analytical processes must be delivered at application speed in a modern experience, and are sometimes referred to as real-time analytics.
Developers are responsible for infusing analytics into their application logic to create in-app analytics. MongoDB provides the tools and APIs that help them build sophisticated analytics queries. Along with analytics-optimized indexing and storage formats, insights and actions are delivered at low latency with high concurrency.