Is a deep data dive expected as a given and is it a real differentiator?

Abstract

This paper explores how post-trade data, long regarded as a basic operational output, has evolved into a critical differentiator for post-trade service providers. While clients increasingly treat data availability as a standard expectation, its speed, granularity, scope, and delivery architecture now define the competitive mix of post-trade service providers. The paper examines how settlement cycle changes and Central Securities Depositories Regulation (CSDR) penalties drive demand for enriched information with data requirements expanding beyond standard Society for Worldwide Interbank Financial Telecommunication (SWIFT) messages. Through examples from settlement, corporate actions, voting, and tax-related processes, it demonstrates how enhanced datasets, timely projections, and value-added analytics can support investment decisions, improve compliance, and mitigate operational risk. The paper further analyses the role of connectivity channels, contrasting report-based models with emerging data pool and application programming interface (API)-driven architectures that allow clients greater flexibility and on-demand access. It discusses the implications of cloud adoption, data sovereignty concerns, and Digital Operational Resilience Act (DORA) requirements, illustrating how regulatory frameworks can be used to strengthen resilience, vendor governance, and data security practices. As trading volumes and data complexity grow, the paper outlines the tension between rising infrastructure demands and sustainable commercial models, highlighting opportunities in self-service delivery, industry collaboration, and standardisation. Finally, the paper argues that democratisation of data, supported by sound data quality culture and advanced analytics tools, can unlock new insights for both clients and post-trade service providers. It concludes that intermediaries able to combine secure architecture, flexible distribution, and high-quality enriched data might be best positioned to meet clients’ evolving expectations and compete in the modern post-trade landscape. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.