Reading, UK 03rd March 2016 –SysMech has been named as the OEM Partner of the year at the 2016 Tableau Partner Summit – London. This award recognises excellent performance of Tableau partners across the globe. SysMech utilises the industry leading visualisation technology of Tableau in its telecoms big data network analytics application, Zen.
The two day summit is a chance for European partners to meet with the Tableau leadership team and enhance their Tableau skills through peer-to-peer learning and advanced training sessions. The Tableau team host an annual awards dinner, at which SysMech were announced as the OEM Partner of the year.
The Zen application leverages Tableau technology to put real -time network data into the hands of 100s of concurrent users at the UK’s largest Mobile telcos. Zen collects continual data feeds from across the entire mobile and fixed-line networks, equating to tens of billions of data records daily. The intelligent automation engine of Zen also enables rapid root cause analysis, alarm reduction, service impact analysis and customer experience analytics.
SysMech CEO, Rob Green commented on the award; “We are extremely proud to be recognised for our achievements within the telecommunications industry. Our partnership with Tableau has allowed us to deliver a highly functional big data solution to our customers, which has been continually proven with leading Tier 1 operators.”
With SysMech now expanding into Africa and Asia, the future for the Zen software and the Tableau partnership looks set for further growth.
SysMech provides end-to-end network analytics software to the telecommunications industry, designed to address the growing need for big data analytics and automation.
The SysMech software, Zen, gives communication service providers (CSPs) visibility of all of their data in one screen. It covers multiple network domains, technologies and vendor equipment, and can be used for both mobile and fixed-line services. The platform brings together several traditional functions into one, improving operational efficiency, and reducing long term expenditure for CSPs.
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