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.
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.
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.
Drive innovation and capture customers’ imaginations in telecommunications with legacy modernization and the development of new digital services.
Power end-to-end value chain optimization with AI/ML, advanced analytics, and real-time data processing for innovative mobile, edge, and IoT applications.
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.
Modernize, move to any cloud, and embrace the AI-driven future of insurance by consolidating data to automate underwriting and power claims processes.
With a layered security approach, including client-side field level encryption, MongoDB Atlas ensures compliance with security standards.
Easily create, share, and embed visualizations of your data with MongoDB Atlas Charts to create quick, easy, real-time business insights.
An application works best if data is distributed according to the needs of its consuming systems.
An ODL must be able to safely serve disparate workloads.
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.
Drawing accurate insights and making the right choices based on analytics requires a complete view of the relevant enterprise data.
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.
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.
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.