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Industry upgrading and iterative entry into accelerated phase data has become the key to success.

Date:2018/05/02  Click:187 times
For enterprises, it will help them to improve their customer experience, improve their products and services, promote their business development and maintain competitiveness by activating the data to drive business development, creating a closed loop of business and technology, and using data analysis to gain an effective business insight. A fast developing business world with strong insight into the industry is essential. In the era of data, enterprises that can manage data efficiently and perform data analysis quickly can gain advantages.

Internet plus the birth of a new wave of industry more and more new, manufacturing, retail, finance and so on new new. In the Internet plus new engine driven by upgrading traditional iterative industry has entered the accelerated phase, in the future will create huge incremental market.

According to the IDC Research Report, by the year 2020, the total value added by digital transformation accounted for about 20% of China's GDP, reaching 2 trillion and 800 billion US dollars. The data of China's white paper on the development of digital economy (2017), issued by China Xintong Institute, shows that the digital transformation of traditional industries in 2020 will bring more than 40 trillion of the total market size for China.

In fact, both the rapid development of new industries and the rapid growth of traditional industries have become the key to success.

For enterprises, it will help them to improve their customer experience, improve their products and services, promote their business development and maintain competitiveness by activating the data to drive business development, creating a closed loop of business and technology, and using data analysis to gain an effective business insight.

Technical agenda setting

Let the technology set the agenda, the enterprise should ask yourself such a few questions, what kind of technology do I have? How do I serve my business? How can I also upgrade the technology to achieve business goals?

With the progress of data analysis, from the 1 era of report type to the 3 era that can deal with the 2 era of unstructured data to the integration of structured data and unstructured data, higher requirements have been put forward for IT.

Data analysis technology is not only a commercial auxiliary tool: it can guide the correct deployment of business, it is a major driving factor for better and faster business decisions. For example, in the retail industry, using the predictive analysis model, retailers can obtain real-time data such as customer flow and inventory level in different scenarios, obtain the latest sales profile and make decisions in the non shutdown state, which will help to maximize sales volume and avoid problems arising from the disruption of the supply chain.

The continuous digitalization of financial services is also in urgent need of a new business model. The transaction processing and settlement links in the financial industry should always focus on efficiency, cost and system operation reliability. Especially in the Internet financial industry, if there is no technical guarantee, business can not be carried out, which is why we have now equated the financial technology industry with the technology industry, including cloud computing, large data, artificial intelligence, block chain and other technologies.

In a rapidly developing business world, it is essential to have strong insight into the industry. In the era of data, enterprises that can manage data efficiently and perform data analysis quickly can gain advantages. Intel has been committed to providing the most efficient, convenient and safe digital technology for the enterprise users, through a comprehensive solution of hardware and software, to help enterprises to obtain useful data in the business world, and then get the first opportunity.

Business demand led

IT technology is bound to be important in the data age, but clear business needs can promote the deployment of technology, because the analysis of data will eventually form a closed loop with the business to make the data "alive".

With the support of enterprise data analysis technology, a large number of scenarios can be obtained and solutions can be optimized. In this way, the business needs to be clear from the beginning, so that the technology team can find the way forward and choose the right combination of technology to make the decision faster and make the business more agile.

The dripping of the new transportation industry, Uber, they smell the growth of private cars, lack of taxi and a large number of business opportunities, in the large data platform, through algorithms and real-time analysis, quickly match the travel plan, meet the needs of the users, and ultimately promote the realization of business goals.

Businesses like this must rely on powerful IT infrastructure and data analysis techniques to achieve business goals. Of course, data analysis technology will always serve business needs and goals, such as how to balance car needs and user experiences in the morning and evening peaks, and solve it through effective and specific technical deployment, and the business leaders need to know how data analysis technology provides help and where to help. It is expected that the technical team will guess the priority of business development.

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