Unlocking the power of data: The new frontier for financial institutions
Abstract
Persistent data fragmentation and inconsistent data quality continue to undermine trust, increasing operational risk and cost across capital markets and securities services. This paper examines how financial institutions – banks, asset managers, insurers and service providers – can build an enterprise data foundation that supports faster time-to-market, stronger transparency and scalable artificial intelligence (AI) adoption. It proposes a practical operating model combining clear data ownership, measurable quality management and end-to-end traceability, aligned to business outcomes across core front-to-back processes. The paper also provides implementation guidance on sequencing, governance and change management to convert data strategy into repeatable execution and, where relevant, industrialised data-as-a-service delivery. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
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Author's Biography
François Choquet leads data strategy and transformation at Amundi, aligning enterprise data capabilities with the company’s strategic objectives. With 25 years’ experience in financial data, including 14 years at Bloomberg, François has driven global initiatives in governance, operating models and regulations across major financial centres. His current focus is building trusted, artificial intelligence (AI)-ready data foundations that strengthen quality and operational efficiency, while enabling scalable data-as-a-service models that accelerate business delivery and value creation.
Charaf El Hami has more than 20 years’ experience in the asset management industry using enterprise data to enable investment performance, risk management, client trust and growth. He builds a data-driven mindset by raising literacy and practical skills across product, technology and operations so decisions rest on shared evidence. He received his Ph.D. in Applied Mathematics from the University of Rouen in 1998. His research interests lie in the area of numerical analysis with papers published in the Journal of Computational and Applied Mathematics and Rendiconti di matematica e delle sue applicazioni.
