Road data for winning IBM Big data Deep South China

August 15, 2014, IBM Big Data and Analysis Summit Forum held in Guangzhou. As a leader in the field of data and analysis, IBM announces that its large data and analysis has been widely used in the South China region, providing a visible, applicable and landing large data deployment program for more and more South China enterprises to realize industrial transformation and value breakthrough.

"Through the cognitive and exploratory phases of the past few years, companies have progressively identified data as a great value for the new natural resources of the 21st century," said Mr. Jason Kelley, managing director of large data and analysis and new markets at IBM Greater China. Large data and analysis become the absolute advantage to enhance the competitiveness of enterprises, the great impetus of transformation and innovation. As a leader in large data areas, IBM's End-to-end data and analytics capabilities have helped more than 30,000 customers worldwide to gain greater business returns. ”

"South China, as one of the most important economic growth regions in the country, has a leading edge and unique data resources in the financial, telecommunications, medical, retail and manufacturing industries," said Mr. Zheng, vice president of IBM Greater China and general manager of southern region. We are pleased to see that many South China customers are working with IBM to dig deep into the application of large data and analysis in the industry, whether it is to expand business or benefit the people's livelihood, have achieved a high value breakthrough. ”

Data value needs to be realized in South China's large data-raising strategy

South China occupies an important position in Chinese regional economy, with the rapid development of industrial belt and economic circle in recent years, excellent emerging enterprises have come into being, bringing about huge amount of data in real sense. Guangdong Province at the end of 2012 put forward the "Guangdong Province to implement a large data strategy work plan", planned to be basically completed in 2020, "wisdom of Guangdong." In May this year, the Nineth meeting of the NPC Standing Committee of Guangdong province passed the "Guangdong Information Promotion Regulations", and made provisions for large data and Internet of things, and further promoted the legislative support for "Big data" technology.

Whether in commercial competition, urban construction or government decision-making, the strategic resource status of data has been widely recognized. IBM's Global Research White Paper "Analysis: The Blueprint for Value", published this year, shows that One-fourth of CEOs and COO advocate the use of large data analysis (24%), which has increased by 10% since 2012.

"Chinese companies are in the forefront of the world in their knowledge of big data," says Mr. Jason Kelley, general manager of IBM Greater China's large data and analysis and new markets, and partner and vice president of global Business consulting services. More and more enterprises realize that the strategic status of large data does not originate from the data itself, but from the great value of the data. IBM believes that large data and analysis include p-a-i-d four levels, from the bottom to the top, respectively: data, integration (integrated), Analysis (Analytics), people (arranges). Large, fast and diverse ' data ' form the basis of large data; Integration ' helps enterprises to grasp and structure data, through ' analysis ' enterprises to gain insights and business value from data based on business requirements; People is the most important element in the process of operation, only the use of large data and analysis of talent, training staff of large data culture to be able to carry out large data and analysis to all aspects of the enterprise process, to stimulate greater business value. ”

As a leader in the field of data and analysis, IBM has the full range of data and analysis capabilities covering software, hardware, services, research and development, and the first in the industry to realize the commercialization of cognitive computing capabilities, with a new cognitive analysis to help enterprises accelerate the implementation of large data and analysis capabilities. In addition, IBM is constantly strengthening its large data and analytics capabilities. As of now, IBM has invested more than 24 billion dollars in large data, with more than 10,000 data analyst consultants, more than 400 mathematicians and thousands of patents, which has realized the landing practice of 30,000 customers worldwide.

Left hand industry right hand livelihood, IBM Big Data Deep South China

Based on the continuous research and practice over the years, IBM has put forward the "six priorities" for the implementation of large data strategy in the light of the real needs of the enterprise: by discerning customers and customizing marketing, building new business models, innovating financial processes, managing risks, optimizing operations, avoiding fraud and reducing it costs These six major priorities will also become an important way for enterprises to use large data analysis to realize value. With IBM's extensive data and analysis practice in South China, IBM will further help South China enterprises to inject analysis into key business processes, depicting large data and analyzing strategic blueprints.

This June, IBM and Tencent to carry out in-depth cooperation. According to a series of sports events, including the world's largest football tournament, based on the mass of information and data released by netizens and fans on social networks, accurate and large data analysis, and a series of insights on fans ' topics, fan classification, fans ' personality analysis, So that not only to help Tencent sports channel more accurate grasp of the content of the report, but also to allow the vast number of fans can be in the Tencent sports channel to converge on social networks on the spread of ideas, and a new way to share ideas, share the fun of the game, get a new experience.

In addition to bringing new experiences to sport, IBM's large data and analysis has been practiced in many industries. For the advantages of South China's manufacturing, retail, banking and other fields, IBM large data and analysis in the promotion of efficiency, reduce costs, strengthen wind control, create value and other aspects have demonstrated extraordinary strength. Cooperation of rural credit cooperatives in Guangdong Province through the deployment of enterprise Content management Solutions (ECM), the province has built a centralized, scalable, efficient, high-capacity, high concurrency of the image of the post-monitoring system, the Guangdong rural Credit large, decentralized unstructured data for the effective unified management, and enables the auditor to detect the business risk in time through the document image and to respond quickly.

In the area of people's livelihood, IBM large data and analysis is helping the South China Medical Service to realize the informatization and the operation breakthrough, helps many hospitals to realize the wisdom medical treatment. Using IBM's large data analysis tool, the first affiliated Hospital of Guangzhou University of Traditional Chinese medicine has realized the effective promotion in the four aspects of daily operation monitoring, sunshine medication supervision, medical insurance cost monitoring and department goal management. Using the IBM Large Data analysis tool Cognos and Data Mining tool DataStage, the hospital constructs the intelligent Operation platform, can help the hospital to carry on the daily operation Information integration, carries on the data extraction, the cleaning and the transformation to the complex data source, and uses the construction Foundation for the intelligent analysis of the data.

On the other hand, in response to the current domestic large data talent gap, to promote rapid development of large data, IBM and the Chinese education system in partnership with the "IBM U-100" cooperation program, investment 100 million U.S. dollars to support 100 Chinese universities to train the next generation of data scientists. In July this year, the "South University of South IBM Joint Laboratory" and "South University of South IBM Large mainframe Excellence Center" was formally established in Guangzhou. The laboratory will focus on the energy industry, the company and the industry to meet the practical problems of joint scientific research, government and enterprise project applications, personnel training, including a variety of cooperation.