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

Proving Best Execution Depends On Collecting More Data

Subscribe to our newsletter

The best way to accomplish all the aspects of ensuring best execution of trades in a manner compliant with Europe’s MiFID II regulation taking effect next year is by gathering all data, market history and relevant information in one place, says Dermot Harriss, senior vice president at OneMarketData, who spoke in a January 26 webinar, “MiFID II: Data for best execution,” hosted by A-Team Group and sponsored by OneMarketData and Thomson Reuters.

“Then, it’s mapping the data into an accessible database structure which you can use to answer the various questions that the transparency regulations ask of your data,” says Harriss.

Collecting all the information and data into one place can be complicated by multiple reporting, monitoring and control requirements that are part of best execution, observes John Mason, global head, regulatory and market structure propositions, in the financial and risk division of Thomson Reuters.

“The breadth and depth of data that’s required that goes into some of the best execution reports, and where that data is going to come from, particularly when we start looking at the more illiquid assets, means asking if proxies are required to ensure that an adequate benchmark was used to prove best execution,” says Mason.

A promising development for best execution support is that front offices and back offices are starting to find common ground on monitoring trade execution quality, according to Harriss. “They realize particularly that what they’re monitoring on a trading desk is the same as what they will be reporting and are beginning to think of those things as being coherent and not necessarily separate activities,” he says.

Having more venues available in a trading operations infrastructure or feeding into a trade data repository, so data ends up in one place with consistency, boosts the ability of the firm with that infrastructure to prove best execution, according to Mason.

“What makes best execution as we see it, is that you need to be able to prove the quality of your execution in the context of the broader market,” he says. “Making sure you have access to all that venue information, not just from a trading perspective but for the perspective it gives of the market as a whole and execution as a whole. We see this as critical for organizations being able to prove the quality of execution they’ve given their clients.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Reviewing the Latency Landscape and the Next Generation of Ultra-Low Latency Infrastructure

Date: 17 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening...

BLOG

Seven 2026 RegTech Outlooks for Compliance, Reporting and Financial Crime

As 2026 gets underway, RegTechs are positioning for a shift in regulatory emphasis from refits, rewrites and attestations to demonstrable evidence. Across the jurisdictions supervisors are shifting from consultation and rulemaking into validation and testing whether firms have operationalised reforms through governance, high-quality data, defensible controls and credible evidence. The seven RegTechs that follow have...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...