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2600:9000:2261:e000:6:ae26:4c0:93a1  Public Scan

Form analysis
2 forms found in the DOM

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Use Cases: Financial Services


GRAPH TECHNOLOGY IN FINANCIAL SERVICES

From risk management to securities recommendations, context is key. Find out why
top banks across the globe are using Neo4j to solve their connected data
challenges.

Read The White Paper


 * Use Cases
 * Customers
 * Resources


USE CASES

 * Stay Agile in Risk & Compliance
 * Fraud Protection
 * Leverage Your Data across Teams
 * Capture a 360° Customer View

Stay Agile in Risk & Compliance

Financial services firms today face increased regulations when it comes to risk
and compliance reporting. Rather than update data manually across silos, today's
leading financial organizations use Neo4j to unite data silos into a federated
metadata model, enabling them to trace and analyze their data across the
enterprise as well as update their models in real time. The bottom line:
timeliness and accuracy in risk analytics and compliance reporting.

Learn More

Fraud Protection

Simple fraud is straightforward to detect with yesterday's traditional, discrete
technologies, but today's fraudsters use sophisticated strategies that require
connected link analysis and complex pattern matching. Neo4j graph technology
makes such connected data analysis simple and efficient, reducing expensive
false positives and adapting to new criminal patterns as they emerge.

Read the White Paper

Leverage Your Data across Teams

Increase your data's rate of return when you coalesce internal silos and
external data feeds into an organizational knowledge graph. A dynamically
updating knowledge graph increases productivity and revenue by serving up
real-time recommendations for both analysts and customer-facing representatives.
Using Neo4j's relationship-first approach to data, your financial services firm
is empowered to respond to market-moving news, manage risk, analyze
opportunities, predict impacts and much more.

Watch the Webinar

Capture a 360° Customer View

Empower your sell-side staff and analysts with a comprehensive view of clients
and their portfolios when you use a graph database. With Neo4j, you create a
unified view of the customer and their journey map by drawing upon data from
your product, support and sales silos. Using this 360° view, you can dynamically
segment customers to provide hyper-targeted service, offerings and content.

Learn More
Being able to quickly understand relationships between data gives us the ability
to rapidly interpret corporate structures and any dilution of ownership of a
business. The Neo4j stack, its network of nodes and connections, mean data can
be surfaced for an individual in milliseconds – that’s a very quick return of
information and was the ideal fit for our needs.

Paul Westcott, Program Director, Dun and Bradstreet
The transition to Neo4j technology has at least doubled the level of service for
identification of the actual owner of businesses. This allowed us to extend its
use and improve the precision of the algorithm at the same time.

Stefano Gatti, Innovation & Data Sources Manager, Cerved
With a relational database, fundamental changes to your data model are highly
risky and highly costly in certain instances. Ultimately, [Relational databases]
just simply cannot keep up with the business. Changes come quick, and you simply
cannot change quickly enough to keep up with them.

Citibank
 * 1
 * 2
 * 3


POWERING CUSTOMERS ALL OVER THE GLOBE

As new financial regulations loomed, UBS turned to Neo4j to help solve their
data lineage challenges. With a data governance platform powered by Neo4j, they
improved risk management by tracking information as it flows through the
enterprise, monitoring data quality and discovering errors.

Read the case study

The Citi Private Banking (CPB) Data, Reporting & Analytics group, with the help
of Neo4j, reengineered the data flows from front-to-back to support the business
strategy focusing on their global clients and enabling rapid innovation. The
graph structure supports the full range of private banking operations, including
security requirements, demanding party-related data.

Watch the video

Leveraging Neo4j to connect their disparate data sources and manage 1 trillion
data relationships, a Global 50 Bank in Latin America was able to gain real-time
insights into the bank's data, to reduce credit risk, empower decision making
and identify new business opportunities.

Read the Case Study


RESOURCES

On-Demand Webinar


GRAPHS IN BANKING, WITH AI AND MACHINE LEARNING

Watch Now
Ebook


FREE EBOOK: BEGINNER'S GUIDE TO GRAPH DATABASES

Read the Ebook
On-Demand Webinar


HOW TO MODEL FINANCIAL RISK WITH A GRAPH DATABASE

Watch Now
Visual Overview


WHY INTELLIGENT APPLICATIONS NEED A GRAPH DATABASE WITH GRANULAR SECURITY

Read the Visual Overview
Solution Guide


HOW TO COMBAT MONEY LAUNDERING USING GRAPH TECHNOLOGY

Get the Solution Guide


READY TO GET STARTED?

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