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

A-Team Insight Blogs

We Can’t Solve the Problems with the Same Thinking That Created Them; Radical Solution is Required to Solve Data Problems, says Avox’s Price

Subscribe to our newsletter

Radical thinking on industry business models is needed in such disastrous times, proselytised Avox’s Ken Price at FIMA this morning. He suggests turning the traditional ‘user in the middle sources multiple vendors’ model on its head so that the users, who after all generate most of the data themselves, become the centre of the model and work alongside vendors and other bodies such as tax authorities, registration authorities, and regulators and more. “There’s a huge amount of power in collaboration,” he said.

Highlighting the value that users already have, and that he suggests can be realised through working through vendors such as Avox, Price says that 70% of changes that are made to the Avox database are triggered by feedback from its clients. He acknowledges that many institutions remain uncomfortable with such an approach, but suggests it is a valid approach to addressing data problems.

“What we’re doing here is preventative maintenance. What is the cost of incorrect data if you do not do this?” he questioned. Citing a client example, the client could not correctly identify the risk level associated with any of its own clients resulting in the regulators insisting those clients were categorised as high risk. The implication was that the firm had to increase the capital withheld for potential losses associated with those clients, to the tune of £10 billion. By then addressing the data and risk classifications of its clients this capital was freed up, enabling the firm to invest elsewhere. “The £10 billion number was directly linked to data management by our client,” said Price.

Also, quoting from a recent study commissioned by Avox majority shareholder Deutsche Borse, the average risk event cost has been calculated to be $20 per event. In the banking sector there have been 90 such recorded events and 45 in the brokerage sector in the course of the year. At this level, the suggested budget that should be put aside to cover the losses stemming from these events is $4 million per year.

By addressing data management in a more radical way, and harnessing the power of the users’ own data through collaboration, the significant benefits of improved quality, reduced cost and increased flexibility can then be realised, said Price.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

MCPs in Data Management: Bringing New Order to Private Markets

Financial institutions have begun deploying Model Context Protocols (MCPs) as they have expanded the use of artificial intelligence applications and agents. The technology developed by Anthropic is an open-source contextual layer that helps coordinate models and data, enabling AI applications to connect with a multitude of other platforms and processes. In the first of a...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...