Financial regulations often are designed to protect against conflicts of interest, typically forming a barrier, or “Chinese Wall,” between different divisions of financial institutions. For example, bankers who provide investment advice to clients may not be influenced by trading activity that takes place in a different part of the firm. Regulation requires that firms develop, implement and enforce policies that will prevent such conflicts of interest and ensure that there is no impropriety.

NICE Cross-Channel Interaction Analytics monitors and analyzes speech, desktop activity as well as email and online chat interactions for watch-list words such as stocks or commodities, and other phrases that may indicate a risk of fraud or compliance violations. It issues real-time alerts to risk managers to investigate and mitigate risk.

NICE Cross-Channel Interaction Analytics also enables compliance officers to respond quickly and accurately in cases of dispute or litigation, or when conducting internal investigations. It can swiftly sort through a large number of recorded interactions and locate relevant contacts, rather than manually reviewing thousands of calls, emails or chat sessions—an inaccurate and time-consuming process.