Collaboration and new technologies
Collaboration between data collection and analysis companies is key to addressing the challenges of fraud. By specializing in extraction and collection techniques, data verification and certification, and data typologies, specialized companies, which are very often complementary, can offer a very powerful anti-fraud quality. Like Meelo and Credit Safe, for example, which offer a solution to fight against B2B fraud.
For customers, acceptance of new technologies can be an initial challenge. However, once the benefits are demonstrated, customers are more likely to adopt these advanced technological solutions.
Importance of information exchange and machine learning
The exchange of information between professionals to detect fraud patterns is very important. The greater the knowledge of patterns, the more predictable the fraudulent behavior. Machine learning plays a key role in analyzing data and detecting fraudulent behavior.
By staying at the forefront of the fight against fraud, companies can anticipate new forms of fraud.
Discover how our expert accompanied by our colleagues can anticipate them:
