Mosaic Smart Data (Mosaic), the real-time FICC data analytics company, has launched a new feature for its MSX platform enabling users to instantly generate text reports on their trading activity data using machine learning. The feature will be available to all MSX users and will allow a trading activity report, which would take a member of staff hours to create, to be generated instantly.

Using a machine learning technique called natural language generation (NLG), MSX can generate trading activity reports on any set of analytics on the platform including both voice and electronic trade data. These reports highlight trends and identify anomalies in the transaction data which provide points of interest for traders and sales teams. Using advanced machine learning techniques, the reports can also provide explanations for these anomalies, moving the analytics beyond simple description to providing causative analysis.

The feature offers significant productivity gains for banks’ staff by rapidly generating accurate reports which would otherwise take several hours to compile. The reports can be shared internally to monitor FICC performance or created to provide clients with additional insights on the market and their activities.

The data analysed by the NLG reports is fully customisable by the staff member and can be selected in real-time. This is subject to limits by permissioned controls set by compliance and management, ensuring that data and analytics is only viewable to staff authorized to see it.

Matthew Hodgson, CEO and founder of Mosaic Smart Data, said: “Having advanced analytics at your fingertips is one thing, but for it to really be powerful it needs to be comprehensible to anyone in the bank who needs to use it. This new feature allows users to instantly create the narrative around the data analytics, highlighting the key outliers or trends in the data which they need to pay attention to, enabling rapid understanding of the information.

“Imagine if the bank’s highest performing, most experienced quant could write all the reports it generates. And now imagine those reports could be produced in seconds across the entire global bank 24 hours a day. The gains in efficiency, performance and business insight would have an almost immediate impact on the bottom line.”