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Velocimetrics launches new version of VMX

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Velocimetrics, a provider of business flow tracking and real-time, in-stream performance analytics, has made significant enhancements to the new version of its VMX EndToEnd product suite.

Having earlier this year launched VMX v9.0, the new v9.2 version is set to continue building on the firm’s unique offering and making powerful data lineage even more accessible and easier to use. VMX is already used by many financial institutions.
 
The new Context Navigation Panel allows the user to move from the low-level, network packet-capture, to high-level statistics, individual business items, and everything in between.  
 
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 (low) level and across different types of information, such as trading patterns, performance, client service KPIs and technical infrastructure. All this makes v9.2 entirely unique in the functionality it delivers.”
 
While the previous versions of VMX EndToEnd collected huge volumes of data in real-time, creating time-series recordings and analytics, the new v9.2 is even more powerful in that every single measure can be recorded and charted using the Velocimetrics Ubiquitous Time-series Recording (UTR). Users can store as much history as they want, and they can also specify the granularity of the new historical data being stored. The advantage of this is that the user does not need to know in advance what item of information they will want to examine, giving them a huge amount of flexibility, and allowing them to generate thousands of analytical measures in real-time.
 
Steve Colwill, CEO of Velocimetrics, says: “One fundamental strength of Velocimetrics is that we have always collected and been able to analyse vast quantities of real-time data, but this release gives our clients some very powerful additional tools. Users can now chart and record every single measure, accessing their complete data history and see aggregated analytics in a single row.”
 
Trading latency – an example would be a spike in end-to-end pricing latency. The Context Navigation Panel allows the user 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. The user can also look at packet captures either side of the hop, examine commonalities, and identify the application process or network segment causing the problem.
 
Payments – payment glitches are a fairly regular occurrence. The Context Navigation Panel can show which payments are backed up, and which have been dropped. Individual payments-in-flight can be identified, allowing an institution to contact a client and warn them of a payment delay. This is especially important for high-value payments, both from the perspective of the end client and from a regulatory standpoint, as regulators take a dim view of the loss of high-value payments.  
 
The Context Navigation Panel has context-sensitive links which relate directly to the data selection made by the user, and will take the user to item selections, network packets, related charts and more. It also shows links to relevant help and videos related to the selection.

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