Predictive analytics is a branch of advanced analytics wherein a variety of different types of software tools can be used to make predictions about future events. It emerged as a hot topic within the capital markets arena in 2017 as the capability of machine learning, artificial intelligence and data mining to generate predictive analytics outputs continues to fascinate investment banks.
However, the promise of greater operational efficiency comes at a time when sellside institutions face unprecedented regulations implementation and compliance challenges. In this article, GreySpark Partners analyst consultant Natalia Bakhir explores the ways in which predictive analytics technology could be used by banks to not only enhance compliance with new regulations, but also improve their supervision of employee behaviour.
