Creating a Data Distribution Knowledge Base Using Neo4j
By Jocelyn Hoppa
November 14, 2018|Reading time: 10 minutes
Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →
Keywords: data distribution platform • data insights • data lineage • graph database • graphconnect • knowledge base • metadata • neo4j • reference data • UBS
Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]
By Jocelyn Hoppa
October 8, 2018|Reading time: 1 minute
In this series on the FRTB, we delved into what is required for effective internal risk models using a graph database like Neo4j. In previous weeks, we looked at the requirements of FRTB compliance and the relationship between risk modeling… Read more →
Keywords: data lineage • data silos • frtb compliance • FRTB Risk Management • graph database • investment risk • neo4j • risk assessment • trace risk data lineage • trading desks
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 →
Keywords: 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 →
Keywords: bank regulations • BCBS • compliance • data connections • data governance • data lineage • financial services • FRTB • investment data • risk analysis • risk modeling
Effective Internal Risk Models for FRTB Compliance: The Importance of Risk Model Approval
By Jocelyn Hoppa
September 10, 2018|Reading time: 4 minutes
Sweeping regulations are changing the way banks handle risk. The Fundamental Review of the Trading Book (FRTB) represents an important shift designed to provide a firm foundation for the future. While laws passed after the financial crisis offered a patchwork,… Read more →
Keywords: Basel IV • BCBS • data lineage • data silos • FRTB • graph database • internal risk model approval • internal risk models • risk compliance • risk management
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 →
Keywords: Connected Data • data lineage • data management • data model • FIBO • financial risk reporting • financial services • Graph Databases • graph technology • risk metadata
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 →
Keywords: BCBS 239 • Connected Data • data lineage • data management • financial risk reporting • financial services • governance • Graph Databases • legal entity identifiers • risk data
Matt Casters – the Mind Behind Kettle – Has Joined the Neo4j Team
By Bryce Merkl Sasaki
June 7, 2018|Reading time: 3 minutes
Speaking on behalf of the Neo4j team, I am excited to announce that Matt Casters has joined Neo4j, Inc. Matt has a sterling reputation in the open source community for his work in leading the Kettle project. Matt and I… Read more →
Keywords: data import • data integration • data lineage • data quality • etl • Kettle • Matt Casters • MDM • Pentaho • Pentaho Data Integration
GDPR Compliance: Why Graph Technology Is the Fastest (and Most Future-Proof) Solution
By Bryce Merkl Sasaki
March 19, 2018|Reading time: 4 minutes
According to Eurostat, 81% of Europeans feel they don’t wholly control their online data and 69% worry that firms might use their data for purposes other than those advertised. The European Union’s General Data Protection Regulation (GDPR) states that individuals… Read more →
Keywords: Connected Data • data lineage • data privacy • Data Visualization • GDPR • GDPR Compliance • native graph database • nosql • personal data • rdbms
GDPR Compliance: The Challenges and Problems with Personal Data
By Bryce Merkl Sasaki
February 26, 2018|Reading time: 3 minutes
European Union regulators are dead serious about protecting the privacy of their citizens’ personal data. The General Data Protection Regulations (GDPR) that take effect on 25 May 2018 apply to all EU and foreign organizations handling personal data of EU… Read more →
Keywords: data lineage • data management • data privacy • data privacy regulations • GDPR Compliance • GDPR regulations • GDPR requirements • graph database • graph technology • personal data
This Week in Neo4j – 26 August 2017
By Mark Needham
August 26, 2017|Reading time: 4 minutes
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Karin Wolok This week’s featured community member is Karin Wolok, Community Manager at… Read more →
Keywords: data lineage • debian • Football • Game of Thrones • graph visualization • GraphQL • map projections • Neo4j sandbox • twin4j
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 →
Keywords: 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 →
Keywords: 5-minute interview • AML • customer information management • data lineage • data quality • financial services • Master Data Management • metadata management • Pitney Bowes • Retail
Advantages of a Graph-Based Metadata Repository [Community Post]
By Bryce Merkl Sasaki
May 4, 2017|Reading time: 5 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Many higher education institutions, like the University of Washington (UW), are implementing large, complex, Software-as-a-Service solutions… Read more →
Keywords: data governance • data integration • data lineage • human capital management • impact analysis • metadata management • metadata repository • source-to-target mapping • system migration • University of Washington
Using the Power of Graphs for Enterprise Metadata Management
By Bryce Merkl Sasaki
October 10, 2016|Reading time: 2 minutes
Pitney Bowes is a Silver sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Data is an asset – we’ve been hearing that for years, but we’re still not ready to treat it… Read more →
Keywords: data lineage • enterprise metadata • finance • graph database • graph technology • graphconnect • metadata • metadata management • Pitney Bowes • Retail
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