Shulou(Shulou.com)06/03 Report--

[introduction] Che Pinjue, former vice president and chairman of the data Committee of Alibaba, and a famous big data expert in China, is currently an expert partner of Sequoia Capital China Fund, director of Yunqi Technology, and data strategy advisor. At the same time, he has served as an expert and member of the big data work leading Group or big data Committee in HongKong, Beijing, Shanghai, Guiyang and other cities. As a globally recognized pioneer of big data, Mr. che Pinjue's works such as "decisive Battle big data" and "the Nature of data" have been widely welcomed.

Recently, big data interviewed Mr. che Pinjue exclusively online and had an in-depth exchange on a series of topics in the current market, such as digital transformation, data center, data strategy, and so on. There have been numerous discussions on data strategy and data center platform. Under the circumstances that the construction of data center platform has become a trend, I am afraid that most enterprises and institutions are actively thinking about how to build a suitable data center platform. In the face of many noisy voices in the market, users prefer to hear insights from the root of the problem. To this end, the car product sense brought his deep thinking.

Mr. Cha Pin-Kyaw

First have the data strategy, and then build the data center.

Since big data is hot, various domestic industries have experienced a process from cognition to recognition of data and its value. Many big data companies in the market will emphasize the importance of data strategy. Nowadays, when the data center has become the focus of the market and the construction of the data center is hot, the discussion on the data strategy seems to be beginning to decrease. Is everyone's data strategy complete?

In car Pin-Jue's view, for any enterprise and organization, there must be a data strategy before building a data platform. In particular, users in traditional industries are generally undergoing digital transformation. unlike native data players such as the Internet, traditional industries must think clearly from a strategic level. "first of all, management needs to be willing to change. When awareness, technology, and data are in place, the starting point of the data strategy begins. In addition, the direction of the data strategy is very important. without a strategic direction, it is not clear which business needs to go first, nor where data governance begins, and the service object of data governance is the business. "

In fact, many domestic data center construction projects do not have a data strategy at all, which means that the data has not been standardized and standardized, and there are no planning norms and standards. directly reflected at the business level is that there is no cooperation between departments at all.

The data center is not a technical tool, but the accumulation of scene knowledge.

In the Chinese market, an interesting phenomenon is that when a hot spot comes out, everyone swarms to the hot spot, resulting in a strong hype. Take data Central Taiwan as an example, it is a characteristic word belonging to China, and there is no clear definition, because it has been put forward by Internet giants, so it has become a hot spot in the market.

Therefore, at present, there are many companies in the market that label themselves as Zhongtai, from companies that do big data marketing and risk control SaaS in the application layer, companies that do data warehouse and big data platform in the final layer, and even some software developers who do traditional ERP and CRM have also launched data middleware services when they are transforming to cloud services.

In view of this situation, Cha Pin-Jue believes that the data center is not a technology, but more of a knowledge, and it is indeed a general trend. There is no need to struggle with the clear definition of the data center, but to understand the nature of the data center. That is, to make the data more flexible and agile to serve the front-end business. " When there is no central station, the contact and communication between the backstage and the foreground is usually a very troublesome thing. To take an interesting example, the big backstage of most companies is finance, and in general, many front-end business presidents often complain and complain about the inefficiency and lack of cooperation in the background, hoping that the background can cooperate with their own business. How to put personalized things in the middle, so that the front desk business can be used more efficiently, this is what the central desk does. "

In fact, like the digital transformation will be a long-term process, the construction of the data center is actually a spiral process, which often needs to be improved according to the changing needs of the business. Che Pinjue believes that the data center actually needs to be constantly exercised and improved. "No matter how grand the data center strategy is, it must be practiced with real business scenarios, and continue to exercise it through small-to-large scenarios. To sum up, the data center is practiced. "

So, how to judge whether a data center is good or bad?

In the car's view, the reuse rate of data is a very important criterion. "if a data center is successful, it is bound to happen: a large percentage of data is being reused, and the efficiency of data reuse and integration is very high. In addition, what can not be ignored is that the data policies and regulations are becoming more and more stringent, and the data center needs to have corresponding data security policies, including how to achieve the underlying data security, the compliance use of data in the business layer, and so on. "

At present, the pure data center is very difficult to make, and it needs to cooperate closely with the business center.

About the data center, another unavoidable topic is: versatility. As we all know, due to the close relationship between the data center and the data, the need for close cooperation with the business, coupled with the differences in business between industries, and even the differences among enterprises of different sizes within the industry, the versatility of the data center is very difficult to achieve. often need to be customized according to the actual business situation of customers.

At present, companies focusing on data center in the market, whether they are start-up companies in the field of data center or big data, which has been developed for many years, have two routes: one is to focus on the universal data center, and try their best to precipitate the platforms and tools of the data center to have a certain degree of versatility, so that the products and solutions related to the data center can reduce the customized content as much as possible. The other is to start with the specific business scenarios of specific industries, quickly help enterprises build the data center for business scenarios, and then slowly expand the data center.

"I am more optimistic about the data center with business bias, because this value point is very easy to reflect. Of course, many companies are also working towards the general-purpose data center, but the value of versatility is often not realized so quickly. In fact, the data center is to make the foreground business use data more stable, secure and efficient, thus forming a closed loop of data value, while the closed loop of universal data center is often not easy to achieve. " Car Pinjue said.

Marketing is the best cut-in point for digital center.

In the car product sense, marketing is a very good entry point for the construction of data center. Because, most industries need to face the business of marketing, with a wide range of universality, almost all companies must carry out marketing business, and marketing is also the most mature business of data. " If the data center is used to support the marketing business, it is easier to copy from company A to company B. For example, Yunqi is a typical business-driven digital center (business + data center), from the marketing point to help enterprises build data center, and then extend to other businesses. "

Car Pinjue believes that as the relationship between the data center and the business becomes closer and closer, it becomes more and more difficult to replicate. For the enterprises that provide the data center, the very important trend is to do the common functions such as data consanguinity and data scheduling tools as well as possible.

China needs the lighthouse of digital middle station.

According to relevant data, China's digital economy contributed 60% of GDP growth in 2018, and digital economy has become the embodiment of national core competition. It is believed that digital economy will become a new economic engine both at the policy level and among the people. With the arrival of the wave of digital economy, the digital transformation of enterprises and institutions is an urgent matter.

To this end, Yunqi Company has launched the Digital Intermediate Lighthouse Plan, focusing on many problems in the enterprise transformation in the era of digital economy, focusing deeply on the industry with its 3.0-bit technology base and engine, and plans to build 30 + head lighthouses, 100 + industry benchmarking and 1000 + business innovation demonstration enterprises in the next three years.

In this regard, Che Pinjue believes that Yunqi's lighthouse plan is of great significance. China's industrial digitization and digital industrialization do need beacons and benchmarking to promote the digital transformation and digital level of various domestic industries through the demonstration effect.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.