Manufacturing three-level optimization of large data

The current large data can bring business opportunities for enterprises has been widely recognized, in order to further meet the needs of users, IBM full integration of innovative technology and industry experience to help customers comb the concept of large data, the choice of strategic direction, the formulation of strategy, and to achieve the floor of the industry IBM is helping users of various industries Using optimized solution to deal with large-scale, diversified, high-speed flow of enterprise data to ensure the authenticity of data, through the analysis of these data to enable enterprises to obtain sufficient information to help enterprises gain insight into the business, to formulate corresponding strategies to achieve rapid business breakthrough and growth.

According to the IDC report, 2011 Global Data volume of up to 1.2ZB and is growing at 40% a year, from the internet to such as banking, telecommunications, manufacturing and other traditional industries, the challenge of large data is increasing, and enterprises in the observation of large data trends, while more acutely aware of, Missed opportunities under this trend will bring unprecedented losses. More and more enterprises are looking for the most effective way, through a large number of data management and analysis, efficient driving business strategy formulation, rapid upgrade business capabilities and advantages.

As the head of the traditional industry, the manufacturing industry has now developed into a core supply chain model, he is not only an industry, manufacturing also contains more than twenty or thirty industries. As from demand to procurement, production, distribution, performance, sales of a series of links to deepen, the small changes in demand can seriously affect the terminal retail. In the automobile manufacturing industry, enterprises not only have to face their own internal production optimization, but also face the customer's response, the first is how to retain customers, what method can retain customers? The second is how to optimize production, make more money, through revenue to achieve research and development and innovation. IBM Software group Greater China Manufacturing Business group Ding said that IBM's big data can help the automotive industry at three levels.

First, through the network and other means to the car data transmission, analysis of different road conditions, different weather, climate and different driving mode on the battery wear rate, the rate of consumption, as the improvement of battery, electric car battery design. Second, through the work list to analyze the car in different environments of their own impact. The most important thing is that IBM can also help set up the owner platform and many other interactive platforms, timely delivery of vehicle owners information to help build brand loyalty.

As you can see, IBM is helping many manufacturing industries to quickly and efficiently handle the data in the supply chain, and to speed up the reporting process by analyzing tools to drive decisions and avoid risk, and IBM also has the potential to do so in other industries. Nowadays, the traditional areas of concern of telecom operators include data management and report analysis. With the intensification of competition, real-time data processing and customer behavior prediction has become the high ground for the industry to compete. Using Netezza to consolidate a large number of data to a unified platform, IBM is helping some telecom companies to organize dispersed data and break through static data management, real-time access to user behavior analysis, thereby enhancing customer service efficiency and business delivery accuracy.

IBM is now committed to providing a wide range of practical references to the industry, helping its IT departments and business departments to get a deeper understanding of the application scenarios of large data technologies in different industries, and to explore the business value that large data will drive for their businesses. "With the continuous upgrading of IBM's large data technology and the wide range of industry practices, it will benefit more industry users," Bu Xiaojun said. In the four quarter of this year, IBM will also make a series of major data launch, we look forward to working with industry users and partners to continue to extend the value of data, to explore growth momentum, leveraging the optimized large data environment, access to breakthrough insights and value. ”

(Responsible editor: The good of the Legacy)