Worldwide, banks and insurers are among the primary adopters of technology, including robotic process automation, machine learning, and predictive analytics. This trend is driven by the need for organisational efficiency, meeting customer demand for quality service and product innovation, and evolving risk and compliance reporting requirements. These firms hold large amounts of granular data that can provide valuable insights into financial risk, financial crime, customer preferences, and customer behaviour. To fully leverage this data, institutions must continue to transform their legacy processes to meet business demands through efficient data processes and advanced analytical capabilities.
