In this increasingly digital world, our families, offices, schools and even cars are all connected together. Companies need to integrate the latest digital innovations, such as mobility, data analysis, cloud and the Internet of Things, into their operations to improve operational efficiency and maintain sustained growth. The use of digital technology enables organizations to create more effective processes, differentiate products and services, better meet the needs of customers and employees, while increasing revenue and reducing costs.
This year's digital trend report points out that the maturity of customer experience in Asia Pacific region lags behind that in other regions of the world. Therefore, it has become a top priority for enterprises in Asia Pacific region to use technology to connect and provide positive customer experience. But we must be clear that digital technology and network technology go hand in hand. Generally, traditional infrastructure cannot effectively and securely support current business solutions and applications. Especially when cloud computing applications and a large number of IoT devices are connected at the same time, network infrastructure will become the focus of subsequent work.
Micronet believes that the digital transformation of enterprises in the digital era needs to solve the problem of business mapping efficiency. Cloud computing and the Internet of Things not only bring about productivity improvement, but also put forward higher requirements for the smooth migration of traditional architecture, which is also the four key points that enterprises must pay attention to if they want to carry out digital transformation.
First, automatic contact
In order to ensure seamless customer experience and efficient data transmission, enterprises need to configure their digital networks with excellent wired and/or wireless connections. The key was connectivity.
Users can deploy a new application within minutes. Setting up the network still takes time, but the process is improving. For example, there are now automatic secure connections from users or objects/devices to the network of authorized applications. Previously, the network used monitoring technology based on response alarm, mainly manual monitoring. Today, enterprises can choose to connect to the drive network.
Second, Internet of Things security
IoT devices and sensors are changing the world we live in and the way we operate. Now there are billions of interconnection devices. Experts predict that the interconnection of everything will continue to develop. By 2025, IDC will share 55.9 billion global interconnection devices, 75% of which will be connected to the IoT platform. One of the biggest risks is the security of the connected equipment. When objects are destroyed, the entire enterprise network is vulnerable to attacks. The protection of IoT networks and devices is key.
However, it is impractical to configure and manage many individual devices. IoT includes an automated solution that can be safely loaded into IoT devices while protecting the network. In IoT, every object is found, classified and monitored. If there are exceptions in the network, monitoring them is the key so that enterprises can take immediate action.
Third, network intelligence
AI, data analysis and machine learning can link events in the network with the behavior of users and devices. By combining these elements, IT personnel can better understand the comprehensiveness of facts and problems, solve potential problems caused by the network, and optimize digital business processes.
Positive analysis can also provide information on the quality of user experience, and can quickly identify the problem. For example, if a device is connected to the wireless network for too long, the network can identify the problem and take action to solve it. The network sends a notification to the administrator to indicate whether the problem can be resolved automatically. The connected object is automatically disconnected or isolated when abnormal activity is detected. This automatic function can ensure the fastest response speed, and it is also a way for enterprises to use existing technology more intelligently to obtain the maximum operating efficiency.
Point 4: Cloud network economic model
The cloud economy model has brought new profit opportunities to enterprises. Under the current limited budget, the cloud business model has brought new examples of cost input, allowing enterprises to re-examine the costs related to network infrastructure.
Internet as a service provides an alternative method for technology procurement, and its subscription mode is determined according to the monthly fixed operating expenses (OPEX). Cloud computing also provides value-added services, which can create new revenue sources. For example, in sports events, location-based services can provide information about users or target locations, which means that large retailers can send promotional codes, and food suppliers can send discount notices, thus creating new revenue opportunities, while costs can generate profits on their own.
The stable digital network strategy has laid the IT infrastructure for the future digital transformation of enterprises. The four main directions mentioned above provide guidance for enterprises, so that we can see that the network can be transformed from a complex, high cost infrastructure into a tool to generate new revenue sources with lower operating costs.
The above is the analysis of the four key points that Micronet must pay attention to when enterprises want to carry out digital transformation I believe that the friends who have read this article also agree with this statement. For the cloud computing industry Should also have a deeper understanding of 。 If you want to know more about it, please follow the ECS knowledge channel of the Micronet News Center or contact us. Micronet will serve you wholeheartedly.
