About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Understanding the Importance of an Integrated Regulatory, Data and Technology Strategy

Subscribe to our newsletter

By Bradley Foster, Global Head of Content (Enterprise), Bloomberg.

Regulation following the 2008 financial crisis has had a profound effect on banks and buy side firms. Banks in particular are now much better capitalized and more liquid compared to a decade ago. We have seen a wave of new investor protection and market transparency regulation such as MiFiD II that increased the confidence of investors. All of this significantly mitigates the risk of another run on banks due to a crisis of confidence. At the same time, new regulation and supervision may increase the cost of doing business and brings technology, infrastructure and data challenges. As market participants move towards implementation and regulations become more clear, banks must take a much more risk based, data-driven approach to determine how they prioritize and address regulation.

That means asking certain key questions such as, what has regulation done in terms of impacting the client/business mix? How has it affected your business? And how are you utilising data to meet your regulatory requirements?

Irrespective of regulation, data is at the heart of what firms need in order to operate effectively. But regulation can and does inform that evolution. Take FRTB, for example. This complex regulation requires firms to have consistency, alignment and data provenance across their front, middle and back offices – a big ask. So firms must now think about regulation in the context of their overall data management strategy if they are going to recognize the efficiencies that make them effective.

Underpinning a lot of this is data and technology, where technology is ultimately seen as an enabler. If you are going to solve any problem in a scalable manner then you need a data management strategy and technology solution to make that happen. We are moving ever closer to a world where machines are consuming more and more data – so from a vendor perspective, a data management strategy must be approached from the perspective of creating and providing high quality,, clean and tidy and more comprehensive data to clients. All of this should be delivered in a way that is easily consumable by both humans and machines. Regulation is not only driving data management strategy, it is transforming how customers use data.

To learn more, join us at RegTech Summit London on Thursday October 3, 2019 and hear Bradley speak live.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best practice approaches to data management for regulatory reporting

Effective regulatory reporting requires firms to manage vast amounts of data across multiple systems, regions, and regulatory jurisdictions. With increasing scrutiny from regulators and the rising complexity of financial instruments, the need for a streamlined and strategic approach to data management has never been greater. Financial institutions must ensure accuracy, consistency, and timeliness in their...

BLOG

From Archive to Insight – Smarsh Unveils OpenAPI Platform for EComms Governance

On 4 June 2025, Smarsh unveiled what it calls its “largest platform refresh in years,” layering next generation artificial intelligence, a Copilot ready capture service and an open API suite onto the company’s cloud compliance stack. The launch positions the Portland based vendor to help banks and brokers contend with the coming wave of generative...

EVENT

Data Licensing Forum 2025

The Data Licensing Forum will explore industry trends, themes and specific developments relating to licensing of financial market data from Exchanges and Data Vendors.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...