Data-driven decision making creates competitive advantage, and from short-term pricing advantages to balance sheet optimisation, opportunities to leverage Repo big data abound. Having data isn’t enough, it is the ability to turn it into usable market intelligence and act on it that is the key to success.
Traditional static data is increasing being supplemented by asset class differentiation data, such as ESG data, and dynamic data such as pricing, valuation and position data. One of the points of friction for Repo markets is the balancing act between the need for granularity versus harmonisation, and the needs to reconcile data between the two. This, and the complexity of repo data, makes it difficult to work with.