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Use Cases

Single View

Real-time views of your business that integrate all of your siloed data.
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Delivering a Near Real-Time Single View into Customers
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.

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Create a single view of anything

Incorporate any type of data

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.
Move faster

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.
MongoDB Query API

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

Transform mission-critical applications, drive innovation, and transform AI challenges with a single view across different use cases.
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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.

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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.

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Telecommunications

Drive innovation and capture customers’ imaginations in telecommunications with legacy modernization and the development of new digital services.

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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.

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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.

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Insurance

Modernize, move to any cloud, and embrace the AI-driven future of insurance by consolidating data to automate underwriting and power claims processes.

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Secure your data

With a layered security approach, including client-side field level encryption, MongoDB Atlas ensures compliance with security standards.

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Visualize application data

Easily create, share, and embed visualizations of your data with MongoDB Atlas Charts to create quick, easy, real-time business insights.

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Data locality

An application works best if data is distributed according to the needs of its consuming systems.

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Workload isolation

An ODL must be able to safely serve disparate workloads.

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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.

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Embrace analytics

Drawing accurate insights and making the right choices based on analytics requires a complete view of the relevant enterprise data.

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Resources

Learn more about the world's most versatile developer data platform.
View resources
general_content_blog

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.

general_content_play

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.

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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.

An illustration of users sharing information about building solutions on MongoDB.

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