Navneet Mathur Picture

Navneet Mathur

Senior Director of Global Solutions, Neo4j

Nav Mathur is Senior Director of Global Solutions at Neo4j. He is responsible for solutions development and go-to-market activities.


Latest Posts by Navneet Mathur

Supply Chain Intelligence: Future-Proof Your Supply Network

Supply chain intelligence is a systematic approach to collecting, analyzing, and acting on data to improve performance across all aspects of the supply chain. With supply chain intelligence, companies acquire real-time information that strengthens business decision-making and operational... read more


How to Improve Supply Chain Forecasting With Predictive Analytics

When it comes to building agile, resilient supply chains, everyone expects fast turnarounds and quick delivery, regardless of what’s happening in the world. If you don’t meet those expectations, your company’s bottom line and reputation suffer. The good news? You can overcome potential... read more



Rethink Your Master Data: Addressing Governance, Risk and Compliance

Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of... read more


Rethink Your Master Data: How Graphs and MDM Intersect

Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of their... read more


Rethink Your Master Data: The Limits of Relational Databases

Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of their... read more


Rethink Your Master Data: Modern Master Data Management

Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of their... read more


Graph-Powered Recommendations: Developing and Deploying Recommendations

Recommendation engines have become a crucial component of modern applications of all types. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time recommendations. This week, in... read more


Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

Recommendation engines have become a crucial component of modern applications of all types. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time recommendations. This week, in... read more


Graph-Powered Recommendations: A Framework for Faster Development

Recommendation engines have become a crucial component of modern applications of all types. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time recommendations. This week, in... read more


Graph-Powered Recommendations: Instantly Evaluating Relationships

Recommendation engines have become a crucial component of modern sales, finance, logistics and human resources applications. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time... read more


Graph-Powered Recommendations: How Smart Recommendations Drive Value

Recommendation engines have become a crucial component of modern sales, finance, logistics and human resources applications. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time... read more


Anti-Money Laundering compliance infographic

Anti-Money Laundering Compliance with Graph Technology [Infographic]

Money launderers get smarter every day, which means organizations need the right tools to stay one step ahead of these nefarious parties. Graph technology helps you follow the money trail, identifying and tracking circular money transactions to get to the source of fraud. This infographic... read more


Learn why graph technology is the best solution for CCPA compliance.

Overcoming CCPA Compliance Challenges: Why Graph Technology Is the Best Solution

The new California Consumer Privacy Act (CCPA) takes effect at the beginning of 2020 and imposes stiff penalties on those that misuse and resell consumers’ private information. Nevada and New York have also introduced their own privacy regulations. Canada and Mexico, as well as Texas,... read more


Learn how graph technology helps you overcome CCPA challenges.

Overcoming CCPA Challenges: Graph Technology Solves Personal Data Privacy Challenges

The new California Consumer Privacy Act (CCPA) takes effect at the beginning of 2020 and imposes stiff penalties on those that misuse and resell consumers’ private information. Nevada and New York have also introduced their own privacy regulations. Canada and Mexico, as well as Texas,... read more


What is CCPA compliance? A definition

Overcoming CCPA Compliance Challenges: What Is CCPA?

The new California Consumer Privacy Act (CCPA) takes effect at the beginning of 2020 and imposes stiff penalties on those that misuse and resell consumers’ private information. Nevada and New York have also introduced their own privacy regulations. Canada and Mexico, as well as Texas,... read more


Learn how to innovate on real-time recommendations with Neo4j.

5 Ways to Innovate and Delight Users with Real-Time Recommendations

Predictive systems, like recommendation systems, have become an extremely important source of new revenue growth and have proven to improve user stickiness. Because of their direct impact on top-line revenue through the organic use of enterprise data, recommendation systems are being... read more


Risk Management and Compliance infographic

Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]

Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit Union Administration, the... read more


Master Data Management infographic

Next-Gen Master Data Management Runs at the Speed of Now [Infographic]

Having a lot of data to mine from is a truly beautiful thing. But many businesses today struggle with data – especially as it grows and becomes more complex – that's stored in different data repositories, not to mention different formats and permissions. Typical types of disconnected data... read more


Check out this infographic on the benefits of using graph technology to power real-time recommendations.

How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

"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 to promote). The truly amazing thing is how... read more


Learn about FRTB risk management with Neo4j.

Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]

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 and data lineage. Last week, we explained why modern... read more


Learn why graph technology is the answer to internal risk models for FRTG compliance.

Effective Internal Risk Models for FRTB Compliance: Modern Graph Technology Is the Answer

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 for building compliance... read more


Discover why data lineage is so important for RFTB compliance and risk modeling.

Effective Internal Risk Models for FRTB Compliance: Risk Modeling Requires Data Lineage

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 lineage of investment data. Think of it as Ancestry.com for... read more


Learn why risk model approval is critical to effective internal risk models for FRTB compliance

Effective Internal Risk Models for FRTB Compliance: The Importance of Risk Model Approval

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, the FRTB is a change that offers banks... read more


Learn how graph technology is transforming the world of financial risk reporting.

Financial Risk Reporting: Graph Technology Is a Game Changer

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 exposure. A connected data foundation not only... read more