How to determine the most popular cloud computing

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How to determine: cloud computing vs CRM system

throughout the IT situation in China, the market environment is constantly changing from technology driven to business model driven. Since 1975, the leather adhesive of computer technology refers to the technological transformation represented by Microsoft and apple, which began to put human beings on the road of artificial intelligence. In the next two decades, Microsoft has firmly stood in the leading position of technology. Until 1998, when a young Internet emperor Google was born, a business model led it sub era came, and the cloud computing business model swept the world. However, only five years later, in 2012, due to the cumulative effect of three decades of technological revolution and business model innovation, the era of big data came

due to the huge accumulation of data, the data flow dominated by electronic information all over the world is growing at a rate of 50% every year. This growth rate is still accelerating in the accelerated and intelligent process of terminal equipment. The most direct manifestation is that IPv4 addresses are exhausted, and 4.3 billion terminal network addresses are exhausted, which reflects that the size of the data flood has become astronomical

now many institutions hope to predict or test their own work through data. The application of data is still in the exploratory stage, and the tools used are not so systematic and standardized. For example, some medical institutions learned through Google search that a large-scale epidemic would occur in a certain area two weeks earlier than the actual epidemic; Another example is that a violent organ can predict that the crime rate will increase at a certain time and in a certain area of the city through the accumulation of data for many years, so as to deploy the police force in advance and prevent the situation from getting worse; Another example is that the executives of a well-known enterprise only need the candidate's blog and Weibo name after interviewing the candidate, and then decide whether to admit or not through the candidate's blog and Weibo content over the years. This is the power shown by the data

through these examples, it is not difficult to see that the eruption effect of data can help individuals or enterprises prepare for a rainy day in some aspects, and with the continuous increase of the amount of data, this prediction and judgment will become more and more accurate, so for the front-end management system of many enterprises, the prediction and control of the market is particularly important, The most typical failure case is Nokia, which was the first manufacturer to master touch screen technology. When iphone1 appeared in the North American market and obtained a considerable number of users, Nokia turned a blind eye to the data of its competitors, which also caused the fall of a generation of legends

for salesforce, an expert in front-end management, cloud computing can automatically record the experimental temperature, and big data has pushed him to the throne of front-end management. The deployment of CRM around the world has indeed enabled salesforce to control this market trend, understand customer needs earlier than its competitors, and respond faster, forcing sap, Oracle, Microsoft and other giants to stand together against salesforce

in the domestic market, salesforce did not successfully invade the front-end management of Chinese enterprises, but local CRM manufacturers competed. As the earliest CRM service provider in China, xtools has taken the lead in the domestic CRM competition. Compared with traditional CRM software, CRM has a greater amount of information, and the access to the Internet can enable xtools and CRM users to collect and obtain the latest market data at the first time, including text, photos, videos, geographical locations, etc., and with the interconnection of intelligent terminals, Xtools is an opportunity for new green building materials enterprises. The information access and accuracy of CRM are becoming more and more accurate. Through the massive collection of these data and the centralized acquisition of relevant data, we can make predictions of market trends and market activities

compared with Internet enterprises, traditional CRM enterprises are slightly slower in dealing with the problem of big data. First of all, there are key weaknesses in the update of data. This information lag often ranges from 2 weeks to half a year, which is highly related to the flexibility of products. For non SaaS CRM products like UFIDA and Kingdee, from obtaining market data to technology research and development, and then to market promotion, there is a significant lag compared with SaaS CRM. The poor user experience directly leads to the unsustainable interest chain

on the whole, domestic CRM manufacturers are not affected by big data, which has something to do with the short development history of CRM. However, with the doubling of the amount of data, this impact must become more apparent. Many CRM enterprises, including xtools, are still in the exploration stage of big data, and there is no complete solution at present

I believe that the rapid update of the Internet will inevitably urge domestic CRM manufacturers to find out the impact of big data as soon as possible, and find out what CRM can do in the era of big data from a positive direction, and what new data processing services CRM can provide for users

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