Merchants face an overwhelming amount of data generated from payments such as card types, decline codes, issuers, refunds, fraud, and chargebacks. This data usually stays locked away in their multiple payment and fraud service providers. However, when merchants build the infrastructure to retain and analyze this rich information, they open to door to better insights on their customers and running experiments which drive increases in revenue.
Understand the key technical infrastructure components commonly used by data teams.
Discuss the roles of a data team and how they fit into your organization.
Explore common data science techniques and experimentation strategies driving payments analysis.