Use Cases
Single View
Real-time views of your business that integrate all of your siloed data.
Implementing an Operational Data Layer
An operational data layer (ODL) is an architectural pattern that centrally integrates and organizes siloed enterprise data, making it available to consuming applications. It enables a range of board-level strategic initiatives such as single view. A single view enables you to surface relevant customer information and data-backed insights to inform strategies and build personalized customer experiences.
Create a single view of anything
Any data type
MongoDB’s flexible data model is essential to incorporate any type of data, structured and unstructured, while providing all the features needed to build a powerful application.
Accelerate team performance
Your teams move faster with MongoDB because its dynamic schemas enable them to iterate. They spend less time prepping data for the database and more time pushing the project forward.
Unlock business insights
MongoDB's expressive query operators, indexing, and aggregation capabilities make it possible to find and filter data, no matter how the business needs to access it.
Industry examples
Unqork + MongoDB: Use a Single View of the Customer to Enhance the User Experience
With MongoDB and Unqork, financial firms gain the flexibility required to unify client experiences and resulting data to future-proof firms to agilely pivot to address changing client and regulatory needs—at speeds that outpace their competitors.
Build a Single View of Your Customers with MongoDB Atlas and Cogniflare's Customer 360
Siloed data makes running operations like customer service, targeted marketing, and advanced analytics highly challenging. Only with a 360 degree view of the customer can an organization deeply understand their needs, wants, and requirements.
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