Large Enterprise data: restructuring business model

"Large data as a key force to drive a new round of technological revolution, can help enterprises to quickly perceive the market, drive the business from the supply-driven to market-driven, personalized order-driven, and then reconstruct the enterprise wisdom." "Talking about the big data to the enterprise's help, Ministry of Industry and Information Technology Advancement Department director Xu Xian said."

The big data technology, known as "The wisdom of the Fragments", was first "unveiled" by the government work report this year, and its application at the enterprise level is maturing and the path is becoming clearer. Xu Xian admits: "Compared with two years ago, people from all walks of life to the large data understanding and understanding more rational, comprehensive and thorough." The data from IDC, the Market Research institute, shows that from the perspective of industrial development, the market size of China's large data industry in the next 5 years will increase from 238 million US dollars in 2013 to 850 million US dollars in 2017 and a composite growth rate of 39%. And from its help to companies, Microsoft's new CEO Satia Nadra recently said that in the next 4 years or so, the "data dividend" will produce a value of 1.6 trillion dollars.

Wave Group senior Vice President Wang Xingshan told our correspondent: "New technology in the continuous subversion of traditional business model, to help enterprises achieve differentiated innovation." A typical feature of Enterprise informatization in the new IT era is to reconstruct the business model with data. Large data restructuring enterprise intelligence requires new thinking, tools and methods to support. ”

Data Access Multi-channel

For clothing FMCG brand Zara, the Netizen's search data has become its pre-sales research data. The products or trends that customers like, distilled from these data, are an important reference for each quarter's new design, creating a higher-than-average gross profit margin for the luxury goods giant.

Data from the internet is also changing Nike. Through the use of wearable devices, mobile apps and social networks and other channels to interact with users, traditional apparel companies collect data and information on the daily exercise of users, and thus form a personalized training program, thus forming the core competitiveness of defeating competitors.

Jiren, chairman and chief executive officer of Neusoft Group [2.95% Capital Research Report], says big data technology has revolutionized the company's data sources. "The present data structure is much more complicated than before, and the new voice and text information platform of micro-letter is endless." This is also the basis of data fusion. ”

The collection of data is therefore the basis of the "landing" of large data applications. Pan Yonghua, a senior research manager at IDC, a marketing research firm, told our correspondent that in the past Enterprise Informatization was mainly about dealing with transactional data, but now it is time to incorporate data from external sources such as journals, social media and mobile terminals. From the point of data acquisition, the use of new technologies, including cloud, scale-out servers and converged infrastructure, is being prepared for large enterprise data.

The change in data sources also allows the service provider's business model to change. Wang Xingshan said that the wave has set up a special wave of the Internet large Data acquisition center, has collected more than 2PB of data, and each PB equivalent to 5,000 National library information total. Wave has established 5 kinds of data algorithms, specifically for enterprises to provide a variety of data collected from the outside. "For example, the current situation of raw materials in each city, all walks of life tender price, or even a single commodity prices trend." Data acquisition is a goal, for enterprises, can not be found. ”

At the same time, a large number of internet companies with massive data and processing capabilities have become the "new faces" of large data-application service providers. Take Tencent, Alibaba, Baidu 3 giants Look, Tencent master the social relations data, Alibaba grasps the transaction and the credit data, the Baidu understands the user search behavior. They are also exploring the path to translating this data into Enterprise services products. April 24, Baidu announced the first open core data capabilities, through the large data engine of the "open Cloud", "Data Factory", "Baidu Brain" 3 components, for the traditional industry to provide large data storage, analysis and processing capabilities.

Data use re-consolidation

Getting the data is just an enterprise Big Data application "March first step". Pan Yonghua said: "Online data on how to integrate, will become the enterprise how to make good use of data key." ”

How to integrate multi-dimensional data, so that the internal "small data" and external acquisition of the "Big data" real contact, is the current major data application focus breakthrough direction. "The big data is not just about ' more '," says Jiren, "but it means that the data is ' meaningful '." Enterprises to break the "island" state of data, strengthen the relevance of internal and external data, so that enterprises have reference value. ”

The case from Shanghai construction [-0.33% Capital Research] group reflects the charm of data integration. The large construction group, which includes landmark buildings such as the Donghai Bridge and the National Theater, has tasted "sweetness". Yang Jinlei, director of Shanghai Construction Informatization Project, said that the biggest problem of building informatization is the coordination of data synchronization, in the past many data lag, even contradictions and errors. But now data from multiple sources are being clearly transformed and integrated. "For example, we cast a 1000 cubic metre of cement pillar, internal cost calculation involves raw materials, hours, process requirements and so on, the data itself is changing at any time, and the quota data are constantly changing, through the cloud platform and cloud database comparison and calculation, you can really determine whether the auction should be, And how it should be priced. ”

Wang Xingshan said that from the tide of their own practice, the current large data analysis covers the price market, market information, enterprise alignment, precision marketing, talent market, user preferences and so on, "These integrated data, is making enterprises more intelligent"

(Responsible editor: Meng)