Through the collaboration, Featurespace and KPMG will employ a range of predictive data analytics and machine learning techniques to effectively model expected behaviour amongst trading staff, research analysts and M&A teams. Patterns of activity will also be analysed, so that any changes in behaviour can be identified, allowing firms to identify potential frauds and the individuals planning fraudulent activity.
The collaboration will see KPMG combine its data and analytics knowledge with Featurespace’s analytics, technical and software-driven expertise to interpret data ranging from email traffic and Instant Messaging to phone calls, working patterns and performance.
Martina King, CEO of Featurespace, says: “KPMG’s validation of our software and faith in our ability to deliver a successful collaboration is a resounding endorsement of the Featurespace team and our revolutionary ARIC technology that interprets data through Adaptive Behavioural Analytics. Together we aim to exceed expectations in resolving the complex challenges faced by clients with trading operations.”
Marcus Kinlay, Head of Analytics Products at KPMG, adds: “Our clients require us to have a deep understanding of their data and analyse it efficiently and effectively to help them mitigate the trading risks they face on a daily basis. Working with Featurespace enhances the capabilities KPMG already has to provide its clients with a step change in their ability to stay in control of their trading business.”
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