Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019|Reading time: 1 minute
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Explore: ai • banking • financial services • fraud • graph database • iam • machine learning • Master Data Management • MDM • webinar
Connecting Compliance: 5-Minute Interview with Christian Tsambikakis
By Jocelyn Hoppa
May 3, 2019|Reading time: 2 minutes
Check out this 5-minute interview with Christian Tsambikakis, CEO of KERBEROS Compliance and learn how they use Neo4j for their compliance solution.
Explore: 5-minute interview • anti-money laundering • Christian Tsambikakis • compliance • financial services • graph database • Kerberos • neo4j • Structr
How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]
By Jocelyn Hoppa
November 8, 2018|Reading time: 1 minute
“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →
Explore: business rules • collaborative filtering • financial services • government services • graph platform • graph technology • Healthcare • knowledge-based filtering • neo4j • real-time recommendations
Effective Internal Risk Models for FRTB Compliance: Modern Graph Technology Is the Answer
By Jocelyn Hoppa
October 1, 2018|Reading time: 4 minutes
Relational database technology can’t handle what is coming in banking and risk modeling. By the 2020s, Accenture predicts current banking business models will be swept away by a tide of ever-evolving technology and other rapidly occurring changes. The right foundation… Read more →
Explore: bank regulations • BCBS • data connections • data lineage • data silos • financial services • frtb compliance • graph database • graph technology • risk • risk model
Effective Internal Risk Models for FRTB Compliance: Risk Modeling Requires Data Lineage
By Jocelyn Hoppa
September 24, 2018|Reading time: 4 minutes
Where did the data come from, originally? That’s a key question that the Fundamental Review of the Trading Book (FRTB) rules will require banks to answer in real-time. Banks must be able to decompose risk models to uncover the full… Read more →
Explore: bank regulations • BCBS • compliance • data connections • data governance • data lineage • financial services • FRTB • investment data • risk analysis • risk modeling
Financial Risk Reporting: Graph Technology Is a Game Changer
By Jocelyn Hoppa
August 13, 2018|Reading time: 5 minutes
How do you prevent another global financial crisis like the one in 2008? The answer lies in better visibility into the deep connections in risk data. Armed with an understanding of risk data lineage, financial houses could have limited their… Read more →
Explore: Connected Data • data lineage • data management • data model • FIBO • financial risk reporting • financial services • Graph Databases • graph technology • risk metadata
Financial Risk Reporting: Building a Risk Metadata Foundation
By Jocelyn Hoppa
August 6, 2018|Reading time: 4 minutes
Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →
Explore: BCBS 239 • Connected Data • financial risk reporting • financial services • governance • Graph Databases • native graph database • nosql • relational database • risk metadata
Congrats to Cerved and LARUS for Winning the Big Data Analytics Award from Digital360
By Jocelyn Hoppa
August 3, 2018|Reading time: 3 minutes
On July 2018, Cerved – a Neo4j customer – has been awarded with the Big Data Analytics prize, by a panel of 50 CIOs working for the most important Italian companies, at the Digital360 Awards 2018, thanks to its Graph4you… Read more →
Explore: big data analytics • cerved • data connections • Digital360 Awards • financial services • graph algoritms • Graph Databases • graph technology • Graph4you • Larus
Financial Risk Reporting:
The Connected Nature of Financial Risk
By Jocelyn Hoppa
July 30, 2018|Reading time: 5 minutes
As governmental regulations tighten, today’s banks must have a thorough and systematic understanding of risk calculations and their associated data lineage – including where underlying data originates and how it flows through enterprise systems. Forward-looking banks are uniting data silos… Read more →
Explore: BCBS 239 • Connected Data • data lineage • data management • financial risk reporting • financial services • governance • Graph Databases • legal entity identifiers • risk data
Financial Services & Neo4j: 360-Degree View of Customer Experience
By Bryce Merkl Sasaki
August 21, 2017|Reading time: 3 minutes
Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they… Read more →
Explore: 360-degree view of customer • Connected Data • credit card industry • credit card provider • customer experience • customer experience management • financial services • graph technology • Master Data Management • MDM
Financial Services & Neo4j: Cybersecurity
By Bryce Merkl Sasaki
August 1, 2017|Reading time: 4 minutes
Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These… Read more →
Explore: Connected Data • cybersecurity • cyberwarfare • cypher • financial services • firewall configuration • graph technology • intrusion detection • single points of failure • situational awareness
Financial Services & Neo4j: Identity & Access Management
By Bryce Merkl Sasaki
July 24, 2017|Reading time: 3 minutes
Within the IT organization of any financial services enterprise, identity and entitlements management must be managed to minimize risk. Over time, the centralized entitlements structure – whether represented in Active Directory or an LDAP directory – grows in such a… Read more →
Explore: access management • Active Directory • Connected Data • financial services • fraud prevention • identity and access management • identity management • Information Security • LDAP directory • permissions management
Financial Services & Neo4j: Network & IT Infrastructure Monitoring
By Bryce Merkl Sasaki
July 10, 2017|Reading time: 4 minutes
Discovering, capturing and making sense of complex interdependencies is central to managing IT infrastructure more effectively, and it is also a critical part of running the businesses IT serves. Whether it’s optimizing a network or an application infrastructure, managing change… Read more →
Explore: dependency management • financial services • GDPR • it infrastructure • IT infrastructure monitoring • microservices • network infrastructure • Network Monitoring • RBS • Royal Bank of Scotland
Financial Services & Neo4j: Anti-Money Laundering
By Bryce Merkl Sasaki
June 26, 2017|Reading time: 3 minutes
Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Read more →
Explore: AML • anti-money laundering • cypher • Data Visualization • financial services • fraud detection • graph technology • money transfer • smurfing • sql
Financial Services & Neo4j: Fraud Detection
By Bryce Merkl Sasaki
June 19, 2017|Reading time: 5 minutes
Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Read more →
Explore: Connected Data • cypher • Data Visualization • financial services • Fortune 500 • fraud detection • fraud ring • graph technology • Microsoft SQL Server • relational database
Financial Services & Neo4j: Data Lineage & Metadata Management
By Bryce Merkl Sasaki
May 30, 2017|Reading time: 3 minutes
Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and… Read more →
Explore: Bank • data lineage • financial services • Global 500 • graph technology • knowledge base • master data • metadata management • regulatory compliance • Sarbanes-Oxley Act
The 5-Minute Interview: Aaron Wallace, Product Manager at Pitney Bowes
By Rachel Howard
May 26, 2017|Reading time: 3 minutes
“We knew we couldn’t come to market with the same old solution and be competitive – so we decided to explore a differentiated solution,” said Aaron Wallace, Product Manager at Pitney Bowes. As a software company prepared to enter the… Read more →
Explore: 5-minute interview • AML • customer information management • data lineage • data quality • financial services • Master Data Management • metadata management • Pitney Bowes • Retail
Financial Services & Neo4j: Financial Asset Graphs
By Bryce Merkl Sasaki
May 24, 2017|Reading time: 4 minutes
In today’s regulatory environment, financial services firms are beginning to experience the impact of graph databases across a number of functions ranging from fighting financial crimes, preventing and responding to cyber threats and ensuring regulatory compliance. Meanwhile, as the continuous… Read more →
Explore: anti-money laundering • asset graph • cerved • credit rating agencies • credit risk analysis • financial asset • financial services • regulatory compliance • risk management • risk/reward ratio
Fraud Prevention with Neo4j: A 5-Minute Overview
By Bryce Merkl Sasaki
April 21, 2017|Reading time: 4 minutes
Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →
Explore: credit card fraud • data science • ecommerce fraud • financial services • fraud detection • fraud pattern • fraud prevention • Fraud Rings • Insurance Fraud • pattern analysis