SAS Alternative

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.

Similarly, DataWalk provides these core features, making it a viable SAS alternative for users seeking advanced investigative solutions. Both enterprise-class platforms enable users to filter and visualize data, conduct timeline and geospatial analysis, and streamline case management workflows. While the SAS fraud system is built on traditional relational database technology, DataWalk leverages a unique hybrid of graph and relational database technology to enhance performance and scalability. This shared focus on facilitating complex investigations and industry-leading data analytics makes DataWalk an attractive option for those familiar with SAS Visual Investigator.

Here are key differentiators: if these features are crucial to you, DataWalk stands out as the superior choice.

Self-Service Prototyping Capabilities for Subject Matter Experts

DataWalk is designed with business users in mind. Analysts can perform complex analyses, create advanced rules, and conduct investigations using sophisticated graph algorithms—all without needing to write any code. Leveraging its unique Knowledge Graph, DataWalk is the ideal tool for prototyping new scenarios, rules, and analyses on your production data, providing immediate results without requiring any coding. Consider these scenarios:

You want to prototype a complex layering detection pattern that identifies all accounts sending similar amounts of money within a short period, measured in minutes or seconds.

You need to find all accounts sending money to suspicious accounts if the aggregated value of money sent exceeds a threshold of $10,000.

You want to instantly discover how a few accounts are connected; this connection can be indirect, involving multiple steps and various relational types, including financial relationships, familial relationships, shared attributes, or identifiers.

With DataWalk, a subject matter expert can prototype these patterns without any help from the data science or IT departments, and do it in minutes. These are just examples of unwanted and suspicious behavior that your analysts could be detecting. Some DataWalk customers say it’s a game-changer for speeding up the detection and investigation of financial crimes and reducing false positives.

Analyze Billions of Events with an Optimized and Scalable Analytical Engine

Whether you need to analyze billions of events, payments, or nonmonetary transactions, DataWalk is designed to help you understand your complex big data and identify unwanted and suspicious behavior. By leveraging advanced data analytics and machine learning, combined with graph technology, DataWalk enables you to monitor payments and transactions effectively. The platform offers no-code access to sophisticated queries, empowering your subject matter experts to perform complex analyses without needing technical expertise. DataWalk's optimized engine ensures that these operations are performed quickly and efficiently, making it a versatile solution for multiple use cases.

DataWalk is the perfect platform to have a holistic view of your financial crime risks, connect the dots between silos and different business lines, and monitor payment fraud, loan fraud, insider threats, money laundering, and security threats. Unlike SAS, which requires a complex architecture with different modules for different use cases, DataWalk provides a unified, all-in-one platform that simplifies your analytical processes and delivers comprehensive capabilities to address various analytical needs.

Answer Your Ad-Hoc Questions Quickly with Sandboxing Capabilities

Another unique feature that DataWalk offers is its sandboxing capability, which allows you to answer ad-hoc questions quickly without the lengthy process of integrating new data sources. Consider an example where you have OSINT data that you want to compare against your internal data. With DataWalk, you can simply drag and drop the data into the DataWalk knowledge graph, with no need to prepare any data management processes in advance. The system will recognize the data and enable you to identify possible connections with your internal data without impacting the entire system. This scenario can help you quickly and efficiently answer ad-hoc questions about exposure to external risk factors.

All-In-One Analytic Suite

To detect complex financial crime schemes, the scale and complexity of the data requires that you use advanced analytics techniques. It's even better to use any combination of them that suits a particular use case, from rules and scenario-based OLAP queries to machine learning models, graph analytics, or GenAI techniques. DataWalk is an all-in-one analytical suite where all these techniques are available on a single platform with no data movement. This provides a significant advantage in the efficiency of working with big data.

Reduce Costs and Improve ROI

Choosing DataWalk as a cost-effective alternative to SAS can significantly reduce costs and improve your return on investment (ROI). With DataWalk, you can achieve quick implementation and start seeing results in weeks, not years. Unlike SAS, DataWalk doesn't require a massive technology stack, making it easier and more affordable to deploy. By leveraging advanced analytics and machine learning, DataWalk helps reduce false positives, which not only enhances the efficiency of your operations but also improves the overall customer experience. This streamlined approach ensures that you can detect, prevent, and manage fraud more effectively while keeping costs in check.

Summary

DataWalk stands out as a compelling alternative to SAS Visual Investigator by offering a cost-effective, efficient, and scalable solution for fraud detection and security intelligence. Its unique features, such as self-service prototyping, sandboxing capabilities, and an all-in-one analytic suite, enable organizations to quickly respond to suspicious behavior and external risk factors. By leveraging advanced analytics and machine learning, DataWalk helps reduce false positives, improve customer experience, and enhance overall security. This makes DataWalk an ideal choice for organizations looking for a fraud detection solution which improves their ROI and enables more robust security intelligence.