Your data is your lifeblood. Too bad it’s strewn across your organization, locked in siloed systems. Hordes of companies have tried to build the elusive single view. Most have failed.
With MongoDB, you can build a single view of anything. Faster. With less money.
MetLife built a single view of 100M+ customers and 70 systems in 90 days using MongoDB. It had been trying for many years to build the same application with a relational database. Learn More.
A Single View application aggregates data from multiple sources into a central repository to create a single view of anything. Example applications include:
Firm-wide view of exposure across asset classes, counterparties, and geographies to manage current risk, and anticipate opportunities.
Single view of military assets – fleets of tanks, ships, Humvees – to better understand how they’re used and where to deploy them next.
Single view of the user across products and logins to know what they’re buying, how they’re interacting with the technology, and what they want.
Omni-channel in a single view, from real-time inventory to historical customer behavior, to create a seamless, branded experience.
|Single View is Hard||MongoDB Makes it Easy|
|No Solution. Trying to consolidate different data in different formats from different systems in a relational database is hard and in many cases impossible.||Elegant Solution. MongoDB can incorporate any type of data, no matter what it looks like or where it comes from, while providing all the features needed to build a powerful application.|
|Stalled. Relational databases render teams of architects, developers, and DBAs powerless to iterate and be agile. Instead, they wrestle with data ingestion, transformation, and schema problems for months or even years.||Ahead of Schedule. Your teams move faster with MongoDB because its dynamic schemas let them iterate. They spend less time prepping data for the database, and more time pushing the project forward.|
|$$$$. Large teams tied up for long periods of time make these projects expensive. Proprietary software and hardware add to the cost. The business case becomes hard for you to justify.||$. More productive teams, plus commodity hardware make your projects cost 10% what they would with a relational database.|
Different systems from different departments with different types of data don’t communicate with each other. Bringing them together to create a single view is hard.
Single view of the customer
Subscriber data management from multiple LoBs
Aggregated content repository
In-house event-processing framework