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Suzannah O.

Business Analyst at VisionTrack

Suzannah O. is an experienced Business Analyst currently employed at VisionTrack since July 2022, specializing in operational business process improvement within the AI Video Telematics industry. Previous experience includes roles at Markerstudy Insurance as a Business Analyst, focusing on project delivery and group transformation, and at Retail Impact LTD, where data analysis supported various categories at Sainsbury's Head Office. Suzannah's earlier positions include Commercial Manager at VIDAfresh Ltd, Account Manager at Sydney Hart Ltd, and roles at A G Thames, contributing to stonefruit category development and logistics management. Suzannah holds a BSc in Management Science from the University of Southampton.

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Tunbridge Wells, United Kingdom

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VisionTrack

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Founded in 2016, the rise of connected vehicle camera and video telematics specialist VisionTrack has been rapid, launching its Internet of Things (IoT) software platform in 2017 and becoming the industry leader last year. The company’s unique approach is helping tackle some of the most complex challenges faced by the fleet, transport and insurance sectors. VisionTrack works with all types and sizes of fleets that operate in a wide range of industry sectors. With a successful and proven track record, the company is now the preferred video telematics partner for a growing number of fleet businesses with over 40,000 devices already connected to the Microsoft-Azure hosted, cloud-based IoT platform. As a result – in 2019 alone – the company recorded more than 528 million road miles and in excess of 37 million hours of footage. During the same period, 4.6 million videos were requested from the platform and over 194 billion data points collected. From its headquarters in Tunbridge Wells, VisionTrack has started to expand internationally to the US, Australia and mainland Europe. Computer vision and machine learning also have an expanding role to play, with huge benefits to come for fleets, so VisionTrack has an extensive team of big data, AI and cybernetics experts and scientists working on next-generation video telematics solutions.


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51-200

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