This document discusses big data in the financial services industry. It begins by defining big data as data that exceeds the processing capacity of conventional databases due to its large volume, velocity, variety, and veracity. It then discusses the 4 V's of big data and how turning big data into value requires analyzing large and diverse data through techniques like text analytics and sentiment analysis. The document outlines trends in big data for financial services in 2016 and provides examples of how banks and other financial institutions use big data for tasks like fraud detection, marketing strategy, and predicting customer behavior. It also discusses how central banks are starting to utilize big data for research and monetary policy. In particular, it describes North Macedonia's Credit Registry, the largest database at