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    Global Banking and Finance Review is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website.

    Top Stories

    XIUS Unveils Machine Learning based Data Platform for MVNOs

    Published by Gbaf News

    Posted on August 6, 2018

    Featured image for article about Top Stories

    MVNOs Envisage Increased ARPU and Customized Customer Experience
    XIUS, a leading supplier of mobile technology, mobile payments and enterprise offerings has unveiled its ‘vData Core’, a patent-pending telco grade platform. This platform, the first of its kind, incorporates Machine Learning (ML) at the core and equips Mobile Virtual Network Operators (MVNOs) to boost revenue and thrive.

    Today, a majority of Communication Service Providers’ (CSP) revenue is generated from data services.

    It is estimated that by 2021, the average data consumption will be 52 Exabytes per month with 70 percent of mobile data being video.

    This makes it necessary for CSPs to be well prepared in effectively monetizing the unimaginable surge in data usage.

    With vData Core, XIUS will enable MVNOs to offer personalized data packages and enchant their end users with customized customer experience through Machine Learning and Network Function Virtualization (NFV).  Additionally, vData Core’s capacity optimization provides visibility into the entire infrastructure making it possible to meet changing service demands. MVNOs can leverage vData Core’s capabilities to improve their operational efficiency, increase agility to market and deliver services to end users more effectively.

    5G expects network slicing for various customers and classes of customer which MVNOs can now achieve through NFV. AI based slicing and crucial configuring of varied products, services and plans for each customer is made extremely simple by vData Core.
    One of the key challenges faced by MVNOs is that a greater portion of Average Revenue per User (ARPU) is generated through data services but lack of innovation has led to flattened revenue and increased customer churn.

    G V Kumar, CEO and Managing Director of XIUS said, “MVNOs have been fast to capitalize on the modern day consumer’s data needs and understand that consumers often pick an operator based on data packages. It has also been proven that they can grow their business through customer-centricity. vData Core will enable MVNOs to understand their customer and innovate based on consumer needs. It will help them to efficiently manage and monetize data and ultimately enhance customer experience”.

    XIUS vData Core helps MVNOs beat competition with on-the-fly and quick launch of data plans, add-ons and combo packages. The Machine Learning (ML) driven auto-generation of personalized product / service offerings to individual subscribers improves customer loyalty and reduces churn. Over a period of time, with extended and vigilant use, it is likely to boost data ARPU by about 15 percent and transform product engagement by about 25 percent.

    MVNOs Envisage Increased ARPU and Customized Customer Experience
    XIUS, a leading supplier of mobile technology, mobile payments and enterprise offerings has unveiled its ‘vData Core’, a patent-pending telco grade platform. This platform, the first of its kind, incorporates Machine Learning (ML) at the core and equips Mobile Virtual Network Operators (MVNOs) to boost revenue and thrive.

    Today, a majority of Communication Service Providers’ (CSP) revenue is generated from data services.

    It is estimated that by 2021, the average data consumption will be 52 Exabytes per month with 70 percent of mobile data being video.

    This makes it necessary for CSPs to be well prepared in effectively monetizing the unimaginable surge in data usage.

    With vData Core, XIUS will enable MVNOs to offer personalized data packages and enchant their end users with customized customer experience through Machine Learning and Network Function Virtualization (NFV).  Additionally, vData Core’s capacity optimization provides visibility into the entire infrastructure making it possible to meet changing service demands. MVNOs can leverage vData Core’s capabilities to improve their operational efficiency, increase agility to market and deliver services to end users more effectively.

    5G expects network slicing for various customers and classes of customer which MVNOs can now achieve through NFV. AI based slicing and crucial configuring of varied products, services and plans for each customer is made extremely simple by vData Core.
    One of the key challenges faced by MVNOs is that a greater portion of Average Revenue per User (ARPU) is generated through data services but lack of innovation has led to flattened revenue and increased customer churn.

    G V Kumar, CEO and Managing Director of XIUS said, “MVNOs have been fast to capitalize on the modern day consumer’s data needs and understand that consumers often pick an operator based on data packages. It has also been proven that they can grow their business through customer-centricity. vData Core will enable MVNOs to understand their customer and innovate based on consumer needs. It will help them to efficiently manage and monetize data and ultimately enhance customer experience”.

    XIUS vData Core helps MVNOs beat competition with on-the-fly and quick launch of data plans, add-ons and combo packages. The Machine Learning (ML) driven auto-generation of personalized product / service offerings to individual subscribers improves customer loyalty and reduces churn. Over a period of time, with extended and vigilant use, it is likely to boost data ARPU by about 15 percent and transform product engagement by about 25 percent.

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