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As you may already know, in the digital world we increasingly live in, fraudulent activities in finance are a major problem for both companies and individuals. Simultaneously, advances have been made to develop solutions that prevent risks and detect fraud in a timely manner. One of these solutions is data enrichment. Thanks to this technique, companies are able to enhance their security measures and protect themselves from potential threats. In this post, we will explore the concept of payment enrichment data and discuss the advantages it brings to fraud prevention.
Understanding payment data enrichment
First, it is important to define the following concepts: data, enrichment, and payment.
So now we have defined the concepts it will be easier to understand what is payment data enrichment. We have already established that data is the unprocessed facts collected from various sources, enrichment is the process of enriching raw data and finally payment is a financial transaction. Payment enrichment data is the process of adding additional information associated with a payment transaction beyond the essential details such as the transaction amount, date, and recipient. Payment enrichment data can include customer data, location information and other relevant contextual details.
As you can see in the left mobile, the data displayed lacks data enrichment. It only displays basic information, making it difficult to understand the transaction details accurately. However, the right mobile showcases enriched data, including the name and brand logo, category, whether the payment is online or offline, and if it is a subscription or not. This enriched data provides a clearer and more comprehensive view of the transaction.
The Role of payment enrichment data in fraud detection
Payment enrichment data enables the following aspects of fraud detection:
To illustrate the importance of data enrichment, let's consider a real-life example:
"A user of a neobank noticed suspicious transactions appearing on their account, showing a purchase at Leroy Merlin (a home improvement store) that they did not make. Although the amount seemed familiar, the location did not match. Their initial reaction was to contact customer service to report the incorrect transaction, suspecting card theft. However, upon further examination, they realized that the payment was indeed correct but was made at a gas station, not Leroy Merlin. In this case, the payment enrichment data was incorrect, leading to confusion and a mistaken assumption of fraud."
By enriching payment data with additional attributes like geolocation and fraud scores, banks can detect suspicious patterns and proactively prevent fraud. This not only safeguards customers' accounts but also protects the bank's reputation and financial interests.
Conclusion
Advancements in fraud detection using payment enrichment data have significantly strengthened the ability of businesses to combat fraudulent activities. By harnessing the power of payment enrichment data, organizations can enhance their fraud detection systems, mitigate risks, and protect both themselves and their customers. As technology continues to evolve, payment enrichment data will continue to play a crucial role in staying one step ahead of fraudsters and ensuring secure online transactions.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Oleksandr Strozhemin Co-founder and CEO at Trinetix
13 August
Elaine Mullan Head of Marketing and Business Development at Corlytics
12 August
Abhinav Paliwal CEO at PayNet Systems- A Neo Banking Software Platform
Donica Venter Marketing coordinator at Traderoot
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