Explore why DataWalk is emerging as a powerful, cost-effective solution compared to the industry giant Palantir.

This article demonstrates how knowledge graph data modeling differs from relational database modeling and emphasizes the advantages of this approach.

Learn how to leverage DataWalk's unique knowledge graph and intuitive interface, which features embedded algorithms and entity resolution without scripting, to address complex data analysis needs without requiring coding expertise.

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.