DataWalk Blog

DataWalk is an enterprise graph analytics platform designed to reveal patterns, relationships, and anomalies in large-scale, multi-source data. One of the key graph algorithms supported by DataWalk is weakly connected components, which efficiently analyzes and understands networks by breaking them into smaller, manageable groups, ensuring connectivity within each group.

SAS Visual Investigator is a robust tool widely recognized among analysts and investigators for its comprehensive detection and investigation capabilities. It offers essential features such as alert creation and management, advanced data search, and network visualization, which help investigative teams detect and analyze suspicious behavior.

At DataWalk, we often refer to contextual data when discussing the capabilities of our software platform. But what qualifies data as “contextual” and what’s involved in analyzing it?

As fraudulent activities in the financial services sector become progressively more sophisticated, institutions are increasingly turning to various technologies to combat fraud.

Data analysis and statistical techniques have long been used in the insurance industry to gain valuable insights and improve decision-making.

At DataWalk, we often refer to contextual data when discussing the capabilities of our software platform. But what qualifies data as “contextual” and what’s involved in analyzing it?

Fraud losses are at an all-time high. According to PwC's Global Economic Crime and Fraud Survey 2022, fraud losses are at the highest level in twenty years of research. The Association of Certified Fraud Examiners (ACFE) estimates that organizations "lose five percent of revenue to fraud each year and the average loss per case is $1,783,000" in Occupational Fraud: Report to the Nations 2022.

There is continuing discussion in the United States on the topic of election fraud, and it can be expected that this will be a highly visible topic with future elections.

DataWalk software enables you to import data from your various internal and external data sources, clean/normalize as needed, fuse it together, and store it in the DataWalk repository. Analysts can take advantage of DataWalk’s powerful analytic capabilities, and leaders can easily view dashboards and reports.

The concept of a data mashup has been around for years, but the DataWalk knowledge graph takes this to the next level.

Harris Computer has announced that they are purchasing from IBM the entire stack of IBM i2 products, including Enterprise Insight Analysis (EIA), Analyst’s Notebook (ANB), iBase, and others.

DataWalk pricing includes multiple options for customers with different purchasing preferences.

DataWalk uniquely meets the challenge for big data query tools, enabling you to easily generate complex no-code queries that actually complete, even across vast amounts of data.

Palantir link analysis is very robust, though DataWalk also provides rich link analysis capabilities at a dramatically lower cost.

Customers often come to DataWalk after realizing that building custom software on a graph database for fraud detection doesn’t always work.

This article outlines Palantir pricing compared to DataWalk.

Easily generate, execute, modify, and re-run complex queries via a simple visual interface.

Link analysis is an important technique for identifying and analyzing the relationships ("connections") between data objects. In this article we'll walk through a detailed example in the DataWalk application.

DataWalk is one of the best Enterprise-class link analysis tools, offering link analysis and much more.

Understanding the mindset of fraudsters can be enormously helpful to fraud fighters. A seminal tool for this is the fraud triangle, originally conceived some 70 years ago by Criminologist Donald Cressey

DataWalk is Enterprise-class, multi-user graph analysis software for visualizing, detecting, and analyzing hidden relationships across large quantities of multi-source data.

DataWalk serves as both an intelligence database and data analysis platform, all in one seamless solution.

DataWalk is one of the key IBM i2 competitors, providing superior capabilities at a lower price, coupled with a deep commitment to customer success.

A common customer need in law enforcement, intelligence, and military applications is to easily generate and share target packages.

We’ve talked with a number of customers who are looking for a SAS Memex replacement, and who are using this as an opportunity to consider expanding their capabilities for data access and analysis.Memex was intended to be used for consolidating, indexing, linking, and retrieving text content. Certainly very useful, but as some organizations consider what they want in a Memex upgrade, they realize that they would like to do more.

Some people who see our product for the first time conclude that “DataWalk does link analysis.”That’s true – link analysis is one of the things that can be done in our software – but it’s important to recognize that DataWalk is far more than just link analysis.

Law enforcement nightmare scenario comes true: Imagine a detective’s nightmare: a criminal without fingerprints, able to teleport to any location immediately and wearing a cloak of invisibility. Sounds like pure sci-fi? It shouldn’t. It’s a reality of today’s cyberworld, where criminal networks increasingly recognize the superpowers given to them by the cryptocurrency world.

DataWalk is a Palantir alternative for intelligence analysis, providing similar functionality at a dramatically lower cost. Importantly, DataWalk delivers these benefits not only with unique technology, but with a different business model and a different business philosophy.

DataWalk delivers superior performance for graph analytics for big data, in a full-stack software platform for data analysis.

The concept of Intelligence-Led Policing has been around for years, yet adoption of Intelligence-Led Policing is somewhat inconsistent. To help organizations that are either considering a move to Intelligence-Led Policing, or who would like to enhance their results with their Intelligence-Led Policing initiatives, in this brief article we offer suggested best practices.

We are sometimes asked “what makes DataWalk different than other fraud detection software companies?” Here’s a list:

DataWalk can be a compelling Neo4j alternative if you want to analyze complex multi-source data without learning a new query language and writing your own software.

As we continue to expand our presence in the market for intelligence and investigation solutions in North America, we are excited to announce that industry veteran Paul Rivet has joined DataWalk as Senior Account Executive responsible for the Western United States and Canada.

Shortly after introducing a new insurance product, an insurer discovered that many customers who bought it terminated their contract after one or two months. Internal business analysis didn’t reveal anything special, and it simply looked like just a rather unsuccessful product.

On November 5th, a Ford cargo truck 1838t 4x2 pulling a trailer rolled over, and no other vehicles were involved in the accident. The truck and trailer belonged to different owners.Ten days later a similar truck driven by one of those owners and owned by the other also had an accident creating an interesting situation of a perfect ring. Was this a fraud ring? Let’s find out.

The venerable IBM i2 products have served the industry well for several decades, but many customers are now looking for an IBM i2 alternative, and in particular are looking for a modern, collaborative, Enterprise-oriented solution. In this article, we’ll discuss how DataWalk provides an ideal IBM i2 alternative.

During my 28 years as a federal agent the use of Link analysis software was integral in solving complex money laundering and terrorist financing investigations. Money launders and terrorist networks are becoming evermore sophisticated in the way they layer their transactions. The use of link analysis is one of the best ways to be able to visualize the connections between entitles, the flow of the funds, and to explain these to senior compliance officials and regulators.