Use Cases
Single View
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
Financial Services
Build AI-powered customer experiences at lower cost and at scale by unifying data for various use cases, from analyzing consolidated data to detect fraud in real time to ingesting and acting on payments data instantly.
Retail
Transform retail customer experiences and make your data work for your business and customers across various use cases, from catalog and inventory management to hyper-personalization.
Telecommunications
Drive innovation and capture customers’ imaginations in telecommunications with legacy modernization and the development of new digital services.
Manufacturing and Mobility
Power end-to-end value chain optimization with AI/ML, advanced analytics, and real-time data processing for innovative mobile, edge, and IoT applications.
Healthcare
MongoDB is built to bring together healthcare data and medical records from legacy database systems to power connected healthcare solutions and create a 360-view of patients.
Insurance
Modernize, move to any cloud, and embrace the AI-driven future of insurance by consolidating data to automate underwriting and power claims processes.
Secure your data
With a layered security approach, including client-side field level encryption, MongoDB Atlas ensures compliance with security standards.
Visualize application data
Easily create, share, and embed visualizations of your data with MongoDB Atlas Charts to create quick, easy, real-time business insights.
Data locality
An application works best if data is distributed according to the needs of its consuming systems.
Workload isolation
An ODL must be able to safely serve disparate workloads.
Instant scale
Even if your single view project starts at a small scale, you need to be prepared for growth as new source systems are integrated by automatically scaling up or down with demand.
Embrace analytics
Drawing accurate insights and making the right choices based on analytics requires a complete view of the relevant enterprise data.
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.
Delivering a Near Real-Time Single View into Operations with a Federated Database
Learn how to bring data together from different data sources for a near-real-time view into customer data using the MongoDB Federated Database feature.
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.
