Technology Category
- Sensors - GPS
Use Cases
- Leasing Finance Automation
About The Customer
Enigma is a data management and intelligence company that operates in the fintech sector. They specialize in leveraging data to provide insights and solutions for various challenges in the industry. One of their primary areas of focus is anti-money laundering, where they aim to assist law enforcement in identifying illegal activities. To achieve this, they recognize the need to incorporate location data into their operations and decision-making processes. They see the potential of location data not only in anti-money laundering but also in other areas such as marketing and credit risk management. To harness this potential, they partnered with CARTO, a location intelligence platform, to develop a sanctions tracker that integrates location data with their existing financial data.
The Challenge
The financial technology (fintech) sector faces a significant challenge in recognizing the existence and availability of location data and its potential benefits. The sector has a wealth of internal datasets and monitoring systems that could be enhanced with the integration of location data. Particularly in the field of anti-money laundering, the combination of location data with financial data could be instrumental in aiding law enforcement and identifying illegal activities. However, the awareness and understanding of how to incorporate this data into day-to-day operations remain a significant hurdle. Additionally, the potential of location data extends beyond anti-money laundering, offering opportunities in marketing and credit risk management by providing insights into where people live and the communities around them.
The Solution
Enigma, a data management and intelligence company, partnered with CARTO, a location intelligence platform, to address these challenges. They developed a sanctions tracker that leverages location data to map out sanctions violations and the locations of sanctioned individuals and entities. This solution not only provides a geographical representation of the sanctions but also reveals connections between sanctioned individuals and entities based on their addresses. The integration of location data with financial data offers a more comprehensive understanding of the sanctions' impact and the relationships between the involved parties. This solution demonstrates the potential of location data in enhancing the fintech sector's operations and decision-making processes, particularly in areas such as anti-money laundering, marketing, and credit risk management.
Operational Impact
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