Companies of all kinds have encouraged data sharing without providing clarity on the purpose. Furthermore, in an age of cloud computing, artificial intelligence (AI), and machine learning (ML), data silos prevent these tools from properly analyzing and utilizing this data, causing a lack of clarity when identifying customers or leveraging the data. In this report in partnership with SAS, we explore how digital identity can be utilized in data management.
Fraud ‘earthquakes’ occur when an organization experiences a sudden rise in fraud attempts and can ruin their credibility with customers while also stealing funds directly. It’s no surprise that fraud attacks have grown in intensity and regularity in recent years, due to digital transformation and the value of the increasingly sensitive data that businesses possess.
In partnership with SAS, we share an overview of the current relationship between fraud and customer experiences, the role data silos play, and how silos can be mitigated and frictionless experiences can be created to benefit both businesses and customers.