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

Velocimetrics Adds Context Navigation Panel to VMX EndToEnd Monitoring and Analytics

Subscribe to our newsletter

Velocimetrics, a provider of business flow tracking and real-time, in-stream performance analytics, has made enhancements to its VMX EndToEnd product. The company released VMX v9.0 earlier this year, with the new v9.2 building on this offering and making powerful data lineage more accessible and easier to use.

Among additions to v9.2 is a Context Navigation Panel that allows users to move from low-level, network packet-capture, to high-level statistics, individual business items, and everything in between. The solution has context-sensitive links that relate directly to the data selection made by a user, and will take the user to item selections, network packets, related charts and more.

Steve Colwill, Velocimetrics CEO, says: “Users can quickly move from a high-level, bird’s eye view of the business, to look at data at a very granular level and across different types of information, such as trading patterns, performance, client service KPIs and technical infrastructure.”

While previous versions of VMX EndToEnd collected huge volumes of data in real time, creating time-series recordings and analytics, v9.2 is more powerful in that every measure can be recorded and charted using Velocimetrics Ubiquitous Time-series Recording (UTR). Users can store as much history as they want, and they can specify the granularity of new historical data being stored. The advantage of this is that users don’t need to know in advance what item of information they will want, giving them flexibility and allowing them to generate thousands of analytical measures in real time.

An example of a use case for the Context Navigation Panel in trading latency is a spike in end-to-end pricing latency. The solution allows users to identify the cause, by going from a chart of the spike to individual prices as they move across the system and identify the specific hop, out of say, five, where the problem occurred. Users can also look at packet captures either side of the hop, examine commonalities, and identify the application process or network segment causing the problem.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best Practices for Managing Trade Surveillance

The surge in trading volumes combined with the emergence of new digital financial assets and geopolitical events have added layers of complexity to market activities. Traditional surveillance methods often struggle to keep pace with these changes, leading to difficulties in detecting sophisticated market abuses and increased regulatory risk. To address these challenges, financial institutions are...

BLOG

Parameta Solutions Launches Enhanced Real-Time OTC Oil Market Data Service

Parameta Solutions, the data and analytics division of TP ICAP Group, has launched an upgraded real-time data service designed to improve transparency in over-the-counter (OTC) oil trading. The service provides live, broker-sourced pricing from TP ICAP subsidiaries PVM and ICAP, with data from TP to be added later in October. Parameta claims that this makes...

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

The Data Management Implications of Solvency II

Bombarded by a barrage of incoming regulations, data managers in Europe are looking for the ‘golden copy’ of regulatory requirements: the compliance solution that will give them most bang for the buck in meeting the demands of the rest of the regulations they are faced with. Solvency II may come close as this ‘golden regulation’:...