Author: Andrew Disney

Feed: Cambridge Intelligence. Author: Andrew Disney. Insurance fraud detection is a matter of understanding connections.To uncover scams, investigators look for unusual links between people, events, locations and times. They scour huge, noisy, complex, and often incomplete, datasets to understand which connections are genuine, and which could indicate fraud.Network visualization – or ‘link analysis’ as it is more commonly called by fraud teams – has long been a vital part of the fraud investigator’s arsenal. A powerful and well-designed link analysis tool is the ideal way to overcome data challenges and investigate fraud in an interactive and intuitive way. If you’re looking ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. Colors can make or break your data visualization.A carefully selected color palette helps you to harness the pre-attentive processing powers of the human brain, and makes insight clearer and easier to find. A badly chosen color palette obscures the information your users need to understand, and makes your data visualization less effective and harder to use.This blog post explores some data visualization examples, basic color theory, and explains how it can help you design visualizations that look good, and make data more compelling.Let’s start with some examples to show you the importance of choosing ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. If you want to uncover the most influential, well-connected or important individuals in a network, you should turn to social network analysis centrality measures. These graph analysis algorithms are designed to unpick complex networks and reveal the patterns buried in the connections between nodes.In this blog post, we’ll take a look at two centrality measures in our graph visualization toolkits: EigenCentrality and PageRank.How do they work? When should you use them? Read on to find out.EigenCentrality: understand network influenceEigenCentrality measures a node’s influence. It starts by measuring each nodes ‘degree’ score – which is ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. Data modeling is the first step towards great graph visualization. In this blog post, we’ll cover everything you need to start creating effective models that’ll help your users find insight in connected data fast.What is graph data modeling?Data modeling is the translation of a conceptual view of your data to a logical model.During the graph data modeling process you decide which entities in your dataset should be nodes, which should be links and which should be discarded. The result is a blueprint of your data’s entities, relationships and properties. You can use that blueprint ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. Social network analysis measures are a vital tool for understanding networks, often also known as graphs.These algorithms use graph theory to calculate the importance of any given node in a network. They cut through noisy data, revealing parts of the network that need attention – but they all work differently. Each measure has its own definition of ‘importance’, so you need to understand how they work to find the best one for your graph visualization applications.Let’s look at some social network analysis measures, how they work, and when to use them.Degree CentralityDegree centrality: A ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. We’re excited to welcome the fast, reliable, fully managed graph database service Amazon Neptune from Amazon Web Services (AWS) to the Cambridge Intelligence Technology Alliance – the group of organizations that helps us solve our customers’ connected data challenges. AWS is a rapidly growing business and their products power the infrastructure and systems behind more than a million organizations worldwide. The release of Amazon Neptune – a fully managed graph database service – has made a fully managed, purpose-built graph database available to AWS customers.Since 2011, Cambridge Intelligence has been building award-winning graph visualization ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. Tech companies succeed or fail based on their ability to innovate. Increasingly, that innovation means breaking down the silos and secrecy of R&D from previous decades. The new route to success is ‘open innovation’ – sharing resources and perfecting ideas with supply chain partners.It’s a new mindset for many, and finding the ideal partner isn’t easy. Not least in South Korea, which received the lowest ranking of all Organization for Economic Cooperation and Development (OECD) member countries in the latest open innovation report.Illunex, a Seoul start-up founded by a team of blockchain engineers, is ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. We’re excited to announce our partnership with Sistemi & Automazione (S&A) – a leading Italian systems integrator.Since 1996, S&A have led high-profile projects across Europe’s private and public sectors. The team specialize in investigation and analysis products for the security and intelligence markets, powering effective risk management and decision-making processes. Over the years, they’ve gained an enviable reputation for innovation, pioneering real-world applications of link analysis.Our Customer Success Manager, Giuseppe Francavilla, welcomed the new partnership:“S&A are established market leaders when it comes to connected data analysis software, so we’re delighted to join forces with ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. The UK political system is usually relatively stable, but it’s going through something of a crisis right now. Our parliamentary democracy is gridlocked over how to implement the result of the 2016 Brexit referendum, where a narrow majority voted in favor of the UK leaving the EU.As the debate continues, it seems the general population has found another way to divide itself. There are those who are sick of Brexit, and those for whom the wall-to-wall media coverage is compulsive viewing.I’ve definitely found myself in the second camp. Regardless of my own opinions on ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. Choosing the right graph visualization partner is a big decision that requires careful research. Are you certain they have the best technology for your project? Do you understand their strengths, weaknesses and background? Do they have the right team and expertise for your use case?There are a lot of answers out there, but which ones should you trust? The hard part is trying to separate fact from fiction.Independent research by analysts can help you make important decisions with confidence. A neutral introduction means you don’t have to just take the vendor’s word for it.Bloor ... Read More