Graph visualization use cases: part 3

This is our third and final post looking at real-world uses of graph visualization.

Looking for the rest of the series?

First we explored how link analysis evolved from physical ‘investigation boards’ used by law enforcement, helping analysts to link people, locations and events at scale. Then we reviewed how it’s helping to tackle the scale and complexity of cyber security data.

This time, we’re going to review less obvious use cases where graph visualization helps analysts transform complex data into useable insight.

1. Regulatory compliance

It might not be the most exciting topic, but regulatory compliance is critical for all organizations. It often involves grappling with complex scenarios and data to understand non-compliance risk. Graph visualization is the perfect tool for the process. Let’s look at some examples.


In financial services, due diligence processes like Know Your Customer (KYC) and Anti-Money Laundering (AML) are especially cumbersome. Understanding customer history and behaviors require a robust data analysis process that relies on some kind of graph visualization (or ‘link analysis’) tool.

Graph visualization makes it easier to isolate a specific transaction and its connections

Our fraud and compliance expert Kaush Kotak explains how some banking organizations are using KeyLines to uncover risks like:

  • Politically Exposed Persons (PEPs) – high-profile individuals who require enhanced due diligence
  • Beneficial owners – exploring networks of entities to understand the control and ownership structure of a customer
  • Correspondent banking relationships – preventing the misuse of international banking relationships

Data protection and GDPR

Data protection regulations are ideal candidates for a graph-led approach.

The forthcoming European GDPR regulation has huge implications for all organizations holding personal data and operating in the EU. From May 2018, that personal data needs to be cataloged and connected to a genuine business case for keeping it, and all staff needs to understand their obligations.

In this webinar graph and GDPR experts, trust-hub, demonstrate the role of visualization in data privacy lifecycle management:

Using graph technologies for more robust privacy data governance
Using graph technologies for more robust privacy data governance

Restricted substances and PLM

Graph visualization can help simplify regulatory compliance processes whenever a person needs to understand the connections inside data. In this blog post KeyLines product manager Dan Williams looks at the role of data visualization for managing restricted substances and complex supply chains. He also demonstrates this scenario and more in our supply chain visualization webinar.

2. Logistics and operations

Speaking of supply chains, graph visualization is the ideal tool to understand flow.

IoT, telecoms, oil and gas – these industries rely on physical networks of infrastructure to function. A relatively minor failure in those networks can cause critical problems costing millions of dollars.

To counter that risk, companies have invested heavily in network analysis tools, collating terabytes of data showing flow and dependencies. Graph analysis techniques, like social network analysis and filtering bring out the most important parts of the network, which can then be further examined with graph visualization.

Graph visualization is a great way to understand impact analysis – if something fails, what is the knock-on effect to the rest of the network?

In this webinar, hosted with multi-model database firm ArangoDB, we walk through the example of IT infrastructure, uncovering the key dependencies in the network to run precise and straightforward impact analysis.

Building powerful apps with ArangoDB & KeyLines
Building powerful apps with ArangoDB & KeyLines
Supply chain white paper
FREE: Visualizing supply chains for network & timeline analysis

The ultimate guide to efficient, responsive supply chains using data visualization


3. Managing knowledge

The final use case we’re going to cover is perhaps the broadest: knowledge graphs.

Take Google. While their early competitors tried to flatten the internet’s densely connected network of information into a huge library catalogue, Google understood the power of the graph and embraced the connected nature of data. They explore the connections between sites, promote those with more authority and generate a more helpful view of the internet.

Now, with the democratization of graph technologies, individual firms can follow suit. Enterprises worldwide are investing in silo-breaking projects to centralize and connect their organization knowledge.

Knowledge graphs come in all shapes and sizes. One bio-science leader uses KeyLines as a visual front-end to their global data discovery platform. Hundreds of thousands of research articles can be explored by type, topic or author using simple navigation techniques – double-click to see all articles by this author, or all reports related to this topic, etc.

Another KeyLines customer is using the toolkit to navigate the complex world of patent information. As we saw in this blog post, understanding IP is a vital part to many business strategies. Graph visualization clarifies the landscape, revealing risks and opportunities.

How can graph visualization help you?

Across all of the examples in the last three blog posts, we’ve seen the huge range of real-world uses for graph visualization. This is just the tip of the iceberg. In any scenario where you need to understand the nature of a relationship quickly and confidently, graph visualization will help.

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