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

Data Management Summit Innovation Showcase Presents The Investment Data Utility

Subscribe to our newsletter

Join us tomorrow at our London Data Management Summit to find out how to make data an opportunity rather than a risk, what still needs to be done to ensure Markets in Financial Instruments Directive II (MiFID II) compliance, how to make the most of alternative data and next generation analytics, the latest technologies adding a new dimension to data management – and more!

Looking at emerging technologies and their vendors, the Summit will include a data innovation showcase. We caught up with Robin Strong, founder and CEO of The Investment Data Utility, ahead of the event to find out how his company can help resolve some of today’s data management challenges.

Q: What data management problems do financial institutions have that you believe you can solve?

A: Unknown, probably poor, data quality across the business, the inability to measure data quality versus peer groups, and incorrect data that is not spotted until it’s too late – failed trades, skewed risk reports, compliance breaches and so on.

Q: Why do financial institutions have these problems?

Typically, because data comes from disparate sources and is processed by different systems in different ways. Even a well-produced ‘gold copy’ lacks any meaningful comparison point to assess its quality.

Q: How do you solve these problems?

A: I have developed crowdsourcing, collaborative technology that allows data to be compared across institutions, generating an industry benchmark that identifies incorrect data before it is used by the business.

Q: What technology do you use?

A set of proprietary algorithms implemented using low-cost standard software tools linking to a central processing cloud.

Q: How does your solution fit into a financial institutions architecture and data flows?

The beauty of this model is that it does not impinge on existing toolsets, workflows and governance processes. It can be added as an additional layer in the architecture at low cost, resulting in very high ROI.

Q: Which emerging technologies do you see as having the most potential to improve data management and why?

I am a big believer in industry standards, yet so many firms reinvent the wheel with proprietary tools to store, reconcile and govern data. Industry collaboration is key and unless operational costs are reduced, new entrants will establish lower overhead models to undercut the competition.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Are Your Legacy Voice Recordings a Compliance Time Bomb?

2 July 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Recent enforcement actions underscore the importance of maintaining accurate, secure and up-to-date voice and electronic communication. For some organisations, legacy voice recording systems are not at or beyond end-of-life, posing significant compliance, operational and financial risks. These outdated systems often fail...

BLOG

Experts Urge Data-Focussed Prep for Asset Management AI Adoption

Leading data practitioners have urged financial institutions to ensure they have suitable data management and infrastructural setups to accommodate artificial intelligence (AI) applications following a report that suggested asset managers are struggling to roll out the technology. The latest in an annual study by professional services giant KPMG found that while asset managers in the...

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...