Vault Core’s integration with MongoDB Atlas

At a glance
Vault Core’s integration with MongoDB Atlas. Our integration with MongoDB Atlas allows banks to solve the data challenges they face by making use of an integrated suite of cloud databases and data services that accelerate and simplify data usage.
Solution category
Data
Geography
Global
Built by
Thought Machine

The challenge

Today, a bank’s competitive advantage is tied to how well it builds workloads and experiences using data. In addition, working with data is a common key challenge in building and evolving applications. Data architecture within banks is overly complex, creating a tax on innovation, a fragmented developer experience, a significant data integration effort, and unnecessary data duplication.

The solution

Our integration with MongoDB Atlas combines Vault Core’s rich data streaming functionality with a best-in-class data platform that gives developers a seamless and scalable experience when building application features that are heavily reliant on data. 

A graphic illustration representing analytics
An integrated suite of cloud databases and data services to accelerate and simplify how banks build with data.
Benefits

Increased understanding of the customer 

The aggregation of all customer accounts gives banks the ability to easily count and sort customers by a variety of search factors e.g., by city or average spend. The integration to MongoDB Atlas gives banks access to a single view of banking data, including a customer's account data, across the enterprise.

Improved data visualisation 

The integration allows clients to easily generate meaningful data visualisation using Atlas charts, alongside Vault Core’s real-time data feed.

Improved operational reporting

The integration with Vault Core enables the aggregation of 

all customer accounts, postings and balances. This can be used to get real-time insights with embeddable dashboards and visualisations which give banks a clear view of key operational metrics, such as a firmwide view of asset and counterparty exposure or a single view of a customer for fraud detection and Know Your Customer (KYC) requirements.

An illustration of a large graph and a rocket shooting upwards alongside it
How the solution works

Thought Machine has developed a MongoDB Atlas integration service which works by listening to Kafka streams from Vault Core relating to accounts created, postings, and balances. The MongoDB Kafka connector receives events from Kafka topics, which are then written in documents to the DB collection. This data can then be processed and aggregated for a range of transformations and analytics.

No items found.
No items found.
Suscríbase a nuestro newsletter
Thank you! You will now receive some incredible content in your inbox!
Oops! Something went wrong while submitting the form.
For information about how we use your data please read our privacy policy.