Explore 5 use cases for Mastercard AN4569 compliance that go beyond minimum requirements. Unlock key insights for enhanced analytics, and customer-centric financial services.
Have you ever been hesitant to go into a car dealership for the fear of being mobbed by hungry salesmen? Bank account holders feel the same way about banks that are too aggressive with cross-selling efforts. Rather than taking a scatter-shot approach that catches customers in the crossfire, banks should target those customers who might buy the product.
In today’s fintech era, it’s crucial to understand how we can use our customers’ data to make better decisions and understand their needs more deeply. But how exactly can we use this data, what types of data do we have and what can we get out of it?
How do you improve your digital banking app? Data is a key resource in this regard. Through data enrichment and subsequent analytics, banks can gain a deeper understanding of their customers, optimize their operations and come up with new opportunities for their customers. In this article, we will focus on leveraging the underlying data from MCC codes and enriching it. This knowledge is one of the pillars of the success of neobanks like bunq or Revolut, so don’t be left behind.
Tracking financial flows is one of the key elements of banking, and payment data enrichment is becoming an increasingly important tool for banks to improve their services and minimise risk. In this article, we look at why payment data enrichment is so important in banking and how to get started.
Data is the most valuable commodity of the 21st century, and its importance is growing every day across industries. Finance and payments are good examples of this. Find out what the new Mastercard Mandate means for banks and fintech
Data is the key to understanding the customer and the long-term success of any business, so it's no wonder it's a sought-after commodity. Accurate and detailed data not only unlocks the door to further business growth, but also to increasing customer satisfaction.
We all use data enrichment every day, often without realising it. Google's autocomplete feature, for instance, relies on data enrichment to provide users with a more intelligent search experience.
