Bridging the Gap between Investment Banking Architecture and Distributed Ledgers

This paper argues that a hybrid approach that includes elements of Big Data/Analytics with the “nudges” of behavioural economics can help banks tackle one of the major causes of their problems in implementing large-scale change: complexity. Complexity makes organisations (and systems) hard to measure, hard to understand and, consequently, hard to change. DLT, combined with Big Data, has the potential to replace the transparency and feedback loops that are missing in complex organisations. With those in place there is the potential to “nudge” organisations towards the standardisation and behavioural change, which would ultimately reduce costs and operational risk.