Nicole Meinie

Data Analyst at Eyona - , England, United Kingdom

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HQ
Location
Cape Town,Western Cape,South Africa
Company
Eyona
Nicole Meinie's Company Details
Eyona logo, Eyona contact details

Eyona

, England, United Kingdom • 52 Employees
Computer Software

What we do:We are tech company, that creates global software solutions for the food & beverage industry (Predominately in the Liquor Space). We own and create all our software and employ the best minds in the industry. Our competitive advantage is the capability to disrupt all B2B business processes that drive sales and hold the businesses and 3rd parties accountable. We have a suite of products in our stable which are all market leaders within their category:• Myhive: Management of all below the line promotions and activation's for the liquor industry. www.myhive.co.za• Asset Force: Full eco-system management of assets such as fridge's, draught machines and catering equipment. Global best practise software and includes internet of things integration and hardware devices https://assetforce.co/• Repforce: Manages and empowers your sales team and work force. Call routing, survey data, customised reporting and sales order capability. Benchmark liquor software in the industry. http://repforce.co• TRUEDATA: Managing big data for majority of the liquor players in South Africa. Customer master database management, volume flow reporting and analytics. Global software. https://truedata.company/• Re-Contact: Communication platform for big corporates. Extranet, SMS, email surveys and customer loyalty management. http://re-contact.com/All our software solutions are cloud based. Very easy to scale and implement into your business. We are agnostic and can integrate into any platform and legacy systems.Our software solutions are built to function across any hardware device.From back end systems to mobile app development solutions. We solve business pain points through cutting edge technology.Innovation is at the core of our DNA. Internet of things, artificial intelligence, machine learning and managing your total ecosystem. Utilizing big data is where we push tech boundaries and challenge the status quo.

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