Discovering connections between data from many different sources may be too difficult and time consuming with only human power. Relationship oriented data analysis system demonstrates the big picture. The system was designed to reveal hidden connections between people and objects. It provides you to interpret the results and to focus on the source of the problem. The system also enables teamwork with its sharing capabilities. We set up the system considering your intended usage and provide you to discover the problematic issue. Therefore, we support you to focus on the solution quickly by avoiding loss of money and time.
Crime and Intelligence Analysis
For crime detection, connections between a large numbers of data from different sources must be uncovered. In systematic crimes, reaching clues and determining details can be quite difficult with only human attention. Relationship-oriented data analsysis method enables you to view the connections between people and objects through many different data sources. We aim to be a solution partner of all public security units and crime analysts in their investigations with our latest technology analysis system.
Banking Fraud and Money Laundering Detection
Increase in data volume in expanding financial markets causes the emergence of different techniques for fraudulent behaviours. However, properly constructed relationship-oriented data analysis system makes possible to reveal payment fraud methods through many different data sources. Unusual behaviours and suspicious transactions can be detected with advanced data visualization, common pattern finding and data clustering capabilities. Additionally, scenarios can be produced for similar situation and quick precautions can be taken. By this way, money loss can be prevented.
Insurance Fraud Detection
In the insurance industry, fraudsters can use legal claims and indirect methods to make money the easy way. It is very difficult to detect those who commit fraudulent behaviour over legitimate scenarios in a very large data world. Relationship-oriented data analysis system provide you to discover relationships between individuals and to reveal hidden connections. Therefore, you can detect organized fraud methods such as auto repairers who deliberately damage property or those who make accident agreements to get money from insurance easily.
Contract and Supply Fraud
It is very difficult to examine the transactions in your entire dealer and store network in depth. This may lead to fraudulent losses and adversely affect your profitability. Relationship-oriented data analysis helps you to prevent contract and supply frauds as well. In order to prevent such negative scenarios in your business, you can observe instantly the movements between connections inside your company or your distribution channels with visual data analysis method. We support you to detect risky movements in an instant and reveal scenarios. Therefore, you can also take immediate action for similar situations.