Big data leads to industry change

With the wide application of the new generation of information technology, such as cloud computing, mobile Internet and IoT, the growth rate of global data is faster than ever before, with the development of social informatization, Enterprise Informatization, and various and massive data exploding. Since 2011, the impact of large data has expanded from enterprise to social, and people have become aware of the enormous social and commercial value of large data. Understanding the changes brought about by large data and planning for the development of large data will be the top priority for the government and the industry in the big data age.

The rise of large data

Large-scale data gathering with a wide range, large number of production and updating, with unprecedented social and commercial value, has been commented as "new oil", "a new economic asset similar to money or gold" and has great potential for development. According to U.S. research institutions, large data can bring the U.S. medical services industry 300 billion of dollars a year value, the European public management of the annual value of 250 billion euros, helping the U.S. retail industry to raise 60% net profit, helping the U.S. manufacturing sector reduce the cost of 50% product development, assembly costs.

For large data, there are usually four important features: Mass (Volume), diversification (produced), rapidity (Velocity), and value. Mass and diversity is the definition of data quantity and data type of large data, fast is the request of large data acquiring, processing and analyzing speed, and value is the meaning and aim of acquiring, processing and analyzing large data.

Second, data-intensive industry large data application first

In the Internet industry, the analysis of large data can provide decision support for business to make more accurate and effective marketing strategy. One of the main features of the Internet industry is the explosive growth of various types of information and data, while user behavior and social groups in the network become more diverse and complex. Facebook, through its analysis and mining of massive social-networking data and online trading data, provides point-to-point personalized advertising strategies, doubling the share of advertising (from 2009 to 2010) and 2010 to 2011 by 95%, nearly 3 times times faster than Google's. Baidu through the collection and collation of network players search demand and hot spots, the user segments, and the search behavior of online game data refining organization, the establishment of user behavior database sales to network game operators, creating a data sales-oriented, advertising services supplemented by the dual-track model.

In the financial industry, the analysis of large data can provide support for financial institutions to achieve rapid scientific decision-making and service innovation. The financial industry has a high degree of informatization, a large amount of data, and centralized data management, which provides a good foundation for the analysis and utilization of large data. Through the deployment of a large data analysis system, CITIC Bank's credit card center has achieved nearly real-time business intelligence (BI) and second-level marketing, operating efficiency has been fully upgraded, the average time allocated for each marketing campaign from 2 weeks to 2-3 days, trading volume increased by 65%, non-performing loan ratio decreased by 0.76%.

In the telecommunications industry, the analysis of large data can make marketing strategy and product design more accurate, help operators to benefit from the data flow, to the intelligent pipeline transformation. In recent years, due to wireless internet and the promotion of smart phones, the telecommunications industry has led to an explosive increase in data volume. At the same time, the telecom industry is confronted with high market saturation, obvious product service homogeneity, and limited profit from the rapid growth of data flow business, and it is urgent to break through the present situation through new technical means. China Unicom through the deployment of large data organization and management system, so that users can be recorded within 10 minutes to query, and the hundreds of millions of records in the retrieval time shortened to a second, improve the customer complaints feedback efficiency and quality, enhance customer service satisfaction.

In retailing, analysis of large data can enable retailers to grasp market dynamics and respond quickly. As a result of similar products in the retail industry, the difference is small, the alternative is strong, the increase in sales income can not be separated from the excellent shopping experience and customer service, but also inseparable from efficient commodity turnover rate, the need to achieve precision marketing and rapid marketing. Wal-Mart has begun to take advantage of the massive sales data produced by the chain stores and analyze it with weather data, economics and demography to select the right shelves in a particular chain of stores and determine the timing of the price cuts. Farmer Spring by large data analysis technology to increase sales by about 30%, and the inventory turnover from 5 days to 3 days, while its data center energy consumption reduced by about 80%.

According to Sadie consultant statistics, 2012 China's industry large data IT investment has exceeded 450 million yuan, annual growth rate of 78.9%, in the next 3-5 years the total investment scale is expected to exceed tens of billions. Over the next few years, we will see that companies that really understand big data and make the most of it will emerge quickly, and that big data will expand from business to social and more to the benefit of the people.

The big data age has come, and it will be a wave of change in many fields. But we have to be calm to see, the core of large data is the value of mining data for customers, rather than the stack of software and hardware. Therefore, the study of large data application mode and business model in different fields will be the key to the healthy development of large data industry. We believe that, with the overall planning and support of the State, through local governments to formulate a large data industry development strategy, through the domestic and foreign it leading enterprises and many innovative enterprises actively participate in the future development of large data industry prospects are very broad.

Responsible Editor: Sun Shanshan