Using smart data analysis and pattern discovery, Nemesis applies predefined analysis templates in order to assess risk factors and generate alerts.
Implementing Nemesis will allow for real-time fraud prevention, reducing time spent
investigating fraud cases and dramatically decreasing costs associated with fraudulent transactions.
Collected statistical data is further used by researchers and marketing departments to help avoid attracting fraudulent users.
For specific business needs, a flexible analysis template configuration tool is included, which makes defining new detection templates very easy.
Multiple data sources
To ensure fraud detection reliability, Nemesis will connect to multiple existing data sources, like core and billing systems, ERP, CRM, etc.
Visual Analysis Tool
Visualizing all the relationships involved in a fraud case allows for a complete 360 degree view, which is essential in fraud detection.
- Detect and prevent fraud on multiple channels
- Decrease costs through centralized case management
- Increase efficiency for loss prevention
- Detect marketing offers prone to fraud
- Gain visibility and control
- Decrease revenue leakage
- Identify new fraud patterns
- Evaluate and establish risk exposures
- Identify network weaknesses
- Configurable Analysis Templates
- Case Management
- Personalized Dashboards
- Working Queues
- Alerts and Reminders
- Associations Visual Analysis (AVA)
- Advanced Reporting Tools
- 3rd party systems integration
- Traffic and roaming locations
- Marketing offers
- Products (devices)
Analysis Template Configuration Tool
The included analysis template configuration tool is designed to make defining new detection templates an easy task.
When defining templates, the user will make use of the numerous filters available to better outline the area of effect that template will have. Filters like "Entities", "Period", "Activity", "Products", "Customers" allow users to narrow fraud investigations to relevant entities.
A prejudice estimate can be set, its purpouse being to better highlight possible fraud scenarios and revenue leakeges.
Depending on the selected filters, the user can then choose from a predifined set of parameters relevant for the fraud scenario that is being analized. These parameters will further narrow down the results of the report.
Nemesis Multiple Data Sources
Fraud detection reliability is essential in any detection and prevention system.
To increase its reliability, Nemesis connects to multiple sources for data mining, like core and billing systems, ERP, CRM and others.
Having a large number of data sources, the system can run intelligent detection algorithms that identify out of the ordinary behavioural patterns and alert the user.
VISUAL ANALYSIS TOOL
The case management module contains the Visual Analysis Tool (VAT), a functionality that creates graphic representations of relationships between entities that might be involved in the analyzed fraud schema. The data used by this tool can be automatically collected from connected systems or manually uploaded by the user. The quality and quantity of the data will determine how accurate the graphic representation will be.
In the generated graphical interactive map, the user can analyse and decide if an entity might be involved in that fraud schema and can add it to the list of suspects of the case. That list will be further analysed later.
When an entity is added to that list, if the identification data of that entity is already present in the system, Nemesis triggers an alert, allowing the user to create connections between several cases under investigation based on that entity.
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