How to choose the best CMS for customer experience management

January 1, 2019

We’ve come a long way since the days when a content management system (CMS) was simply a way to manage and update the content on your website. Today, a web CMS is just one type of technology you need to consistently deliver an excellent customer experience. While your web CMS is a crucial component, you must look at it as part of a larger customer experience management capability.

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XenonStack

A Product Engineering and Technology Services company provides Digital enterprise services and solutions with DevOps , Big Data Engineering , Data Analytics , Cloud Migration ,Machine learning and Data Science'​

OTHER WHITEPAPERS
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Smart solution for sustainable cities

whitePaper | January 8, 2020

The 19th century was a century of empires. The 20th century was a century of states. The 21st century will be a century of cities.” This quote by Wellington E. Webb, former mayor of the City of Denver, seems plausible when you look at the numbers: Although cities cover only a fraction of the Earth’s surface, they are already home to more than half of the world’s population.

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Businesses Prepare for ‘Hybrid’ Workforces with New Policies and Tech Infrastructure

whitePaper | January 12, 2022

TeamViewer commissioned an independent market research firm to survey a random sample of 200 managers, directors, VPs and higher working in the legal, finance, marketing, HR, customer support, sales, IT, and facilities departments of their organizations covering 13 different industries ranging from professional services to retail, travel and hospitality, and more. The study took place in February and March 2021, in partnership with TrendCandy research and Dynata, a global B2B panel provider.

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IoT in the TV White Space Spectrum

whitePaper | April 4, 2022

The deployment of Internet of Things (IoT) networks has rapidly increased over recent years – to connect homes, cities, farms, and many other industries. Today, these networks rely on connectivity solutions, such as LoRaWAN, operating in the ISM bands. Our experience from deployments in multiple countries has shown that such networks are bottlenecked by range and bandwidth.

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The Industrial Internet of Things Networking Framework

whitePaper | August 3, 2022

The Internet of Things (IoT) fuses the digital realm with the real-world of objects and places and enables digital twins of them. These technologies drive innovation in application areas such as manufacturing, utilities, transportation, logistics and smart cities. The adoption of IoT technologies in industrial settings, known as Industrial Internet of Things (IIoT), enables gathering and analysis of data across machines, physical assets and processes to improve the flexibility and efficiency of systems at reduced cost. IIoT will increase the productivity, shift economies, innovate business models and foster industrial growth: a digital transformation (DX).

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Industrial Internet of Thing

whitePaper | January 2, 2020

The brief report provides a positioning of developments in the area referred to as Industrial Internet of Things (IIoT) – loosely interpreting this as the industrial developments associated with the Internet of Things (IoT). IoT in turn describes the extension of the application of internet communications beyond computers and networked devices to also include the networking of everyday objects. In the context of industrial operations these objects are typically equipment, products and raw materials.

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IoT Edge Controller

whitePaper | November 14, 2019

The Internet of Things (IoT) affects many industries as connected devices streamline business processes and add entirely new revenue streams for global organizations. By creating strong trusted relationships between things, systems, data, and people, organizations can introduce more personalized, automated, and enhanced experiences for their customers and generate new revenue streams.

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Spotlight

XenonStack

A Product Engineering and Technology Services company provides Digital enterprise services and solutions with DevOps , Big Data Engineering , Data Analytics , Cloud Migration ,Machine learning and Data Science'​

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