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

Perplexed By Percentages

Subscribe to our newsletter

A couple of weeks ago, together with Reuters, we conducted a survey of the marketplace to find out how well latency measurement is entrenched, and what users thought of datafeed providers and measurement tool vendors. And we asked them to comment on their current market data handling infrastructures too. 

One figure that came back – which I had an instant gut reaction against – is that 39 per cent of respondents reckon their systems are adequate to cope with increasing market data volumes. To me, this number seemed just too high, given what we are being told to expect about data rates from OPRA, etc. A further 31 per cent reckoned their systems would be able to cope following planned upgrades.

Contrast those figures with just 24 per cent suggesting that measurement/monitoring tools are currently adequate (the rest say that tools are not good enough, or are still investigating tools, including finding out what’s out there because they don’t know of any). There’s an old adage in the IT industry and I’ve heard it a lot of late. It’s that unless one can monitor/measure it, one can’t manage it.

Personally, I reckon many of the 39 per cent are large investors in silicon – not the silicon of microprocessors, but the silicon found in large buckets of sand.

Am I being harsh? Of course, I’d be delighted to hear more from you on this subject.

Until next time … here’s some good music.

[tags]OPRA,benchmarks,latency measurement,latency monitoring[/tags]

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

Data as a Product: From Collection to Control in Modern Markets

For much of the past decade, data strategy in capital markets focused on accumulation. Firms invested heavily in market data feeds, alternative datasets, data lakes, and analytics platforms. Yet despite this abundance, many organisations have still struggled to answer basic operational questions with confidence, particularly during periods of market stress. The problem is no longer...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Institutional Digital Assets Handbook 2023

After initial hesitancy, interest in digital assets from institutional market participants has grown over the past three to four years. Early focus inevitably centred on the market opportunities presented by bitcoin and other cryptocurrencies. But this has evolved into a broad acceptance of a potentially meaningful role for digital assets in institutional markets. It’s now...