The new anti-fraud platform from Onwelo can automate fraud detection within a company and facilitate implementing a response strategy
Onwelo, Poland’s leading IT vendor operating on the global market, created an anti-fraud platform to automate the fraud detection and investigation process within companies. The new solution is offered to all businesses dealing with fraud issues throughout the world.
Unlike traditional anti-fraud software, optimized for various use cases, such as data loss, financial fraud or privileged user monitoring, Onwelo’s new solution offers a more comprehensive and innovative approach. It enables rapid multi-source data capture for analysis purposes, with minimal IT technician involvement. Data can be acquired in the format in which it is available, including the data from analysis processes and stored in various systems within and outside the company. It is thus very straightforward to verify any hypothesis that can identify the problem or direct a discovery process.
“The discovery process itself utilizes an intuitive graphical interface to visualize information as well as an SQL language to learn data and detect insights about fraud in your company. The identified fraud scenarios can be automatically monitored and measured. Having fraud areas recognized and assessed, you can develop an anti-fraud response strategy, implement it, monitor its progress and review the whole process,” explained Dariusz Tarapata, Big Data Chief Specialist at Onwelo.
The platform is composed of the following modules: Data Scientist Sandbox to enable ad-hoc analysis, Information Repository to store data on which analyses are performed, Metadata Repository to store implemented rules and models, Alerts Repository to manage alerts identified in the fraud detection process, Case Management to set up workflows.
The solution is based on Apache Hadoop, an open source software platform for distributed storage and processing of very large data sets. The use of open source components makes Onwelo’s system cost-effective to implement. It can be deployed at a customer‘s data center as well as in the cloud.
“We deliver our anti-fraud solution using an approach to fraud detection challenges that has been well-proven in real projects. We usually start with small, targeted steps. In this way an organization can see that there is value in a major investment before making it and understand better how to make a big data project pay off in the long term. That is also the fastest, least expensive, and most effective way to tackle fraud issues in a company,” said Dariusz Tarapata.