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

Summit Survey – Thomson Reuters’ Kelly Explores Technology Drivers, Focus, Buy vs. Build

Subscribe to our newsletter

Delivering the opening keynote for last week’s Low-Latency Summit in NYC, David Kelly, Thomson Reuters’ CTO for Enterprise Solutions, put the audience response system to good use, polling the standing room only crowd on a number of key questions … covering technology drivers and focuses, and also on buy versus build, where the result was a surprise!

And the results were …

Question 1: What is your current primary driver for technology decision making for you or your customers?

Responses: Cost – 18%, Systems performance – 17%, Data/Trading Volumes – 19%, Regulation – 21%, Liquidity Seeking – 24%.

The responses underlined the wide range of factors that firms are grappling with. Cost and performance are perhaps givens, as is coping with volumes, but staying compliant with regulations, and leveraging fragmented marketplaces for trading advantage were the most significant drivers. Bottom line: There’s always something new to worry about!

Question 2: In terms of high velocity, low latency trading, what is your primary technology focus?

Responses: Market Data/Latency – 20%, Execution Latency – 23%, Trading Engine Proximity – 23%, Regulation – 15%, N/A – 19%.

The responses demonstrated the keen interest in high frequency trading strategies among delegates, and taking execution latency and trading engine proximity together, the emphasis on trading speed is still a driver for technology spend.  Bottom line: For this audience it is still faster, faster, faster!

Question 3: To what extent have you or your customers embraced ‘buy’ versus ‘build’?

Responses: No change over past 3 years – 19%, Trending towards buy – 25%, Trending towards build – 27%, No change – 29%.

The responses were a bit of a surprise for Kelly, who sees the world moving more towards a buy versus build model.  But for this audience, with probably a focus on the lowest latency, the norm is DIY, perhaps making use of certain components – e.g. data feeds, messaging – but integrating them with a lot of home-grown applications.  Bottom line: Thomson Reuters got some great market research!

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

LSEG Collaborates with AWS to Support Real-Time Data Infrastructure

London Stock Exchange Group has announced a collaboration with Amazon Web Services aimed at modernising the infrastructure underpinning its real-time market data services, as part of a broader cloud transformation strategy. Under the collaboration, LSEG will leverage AWS services to support the collection, routing, and distribution of its Full Tick and Real-Time Optimized data, while...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...