Intelligent insight into IBM's big data strategy in Beijing

"IT168 Information" March 12, 2013, IBM held 2013 large data press conferences in Beijing, fully demonstrating its unparalleled industry advantages in large data areas: from the industry's unique large data platform to the world's top large data analysis technology, from large data strategies to large data landing solutions, From a large data strategy for the enterprise consulting to IBM in the global and Chinese markets in different sectors of the large data practice, is an IBM cross-sectoral, Cross-industry, across the field of large data strength of the concentrated embodiment. The conference focused on analyzing the results of IBM's recent large data research with Oxford University: The White Paper "Analysis: The application of large data in the real world", redefining and perfecting the large data "4V" theory, in-depth analysis of the "analysis" for the large data to solve the problem, combined with many industry practice, put forward five key recommendations, Provide strategic guidance for enterprises to practice large data in different stages; IBM announced that it will take "intelligent analysis insight" as the core to promote the large data strategy in China, the integration of "large data platform" and "Large data analysis" two major strengths, has now built to complete the industry's most complete large data value system.

▲IBM Global Vice president and general manager of Greater China Software group Mr. Hu Shizhong

"The data constitute the three major elements of the wisdom of the Earth: instrumented, interconnection (interconnected) and intellectualization (intelligent)," said Mr. Hu Shizhong, IBM Global vice-president and general manager of the Greater China Software group. These three elements have changed the source of data, the way of transmission and utilization, and bring about the change of the information society of ' big Data '. As a leader in the Big data field, IBM is leveraging leading methodologies and comprehensive data technology to help companies rethink their existing it models, and to leverage business transitions based on the information revolution to gain competitive opportunities and immeasurable commercial value. At the same time, IBM as the industry's only ability to set consulting, services, software and hardware comprehensive strength, providing end-to-end comprehensive integration of solutions vendors, related products and services covering the ' Big data ' related fields of various stages, various fields; IBM's big data practice has gone deep into all sectors of the global market, including China, Including telecommunications, finance, medical, retail, manufacturing and many other customers have been in the IBM large data platform and large data analysis technology and the concept of support to obtain benefits. ”

▲ Cruise data Ocean capture data value

"Analysis" to: IBM and Oxford University of the latest large data to redefine and improve the large data "4V" theory

IDC research shows that large amounts of structured and unstructured data are continuing to grow at a rate of 60% per cent a year, and that global data will grow by 44 times times in 2020 to 35.2ZB. "The word ' big data ' is already ubiquitous and is used to host all types of concepts, including massive data, real-time data, social media analytics, and next-generation data management capabilities," said Dr Zhou, director of the computer Internet Center at the Institute of Science and Software, a leading domestic data scholar. For enterprises, the understanding of large data should not be limited to the technical field, but should be a business priority task, because it can bring the global integration of the economic era of the great changes in business models. The industry has developed from the understanding of the importance of large data to the implementation phase of the need to practice large data, and the latest IBM white paper is of great guiding significance for the vast majority of Chinese companies looking to be in the ' Big Data age ' nuggets. ”

Analysis: The application of large data in the real world is developed by the IBM Institute of Business Values and the Oxford University School of Commerce. Through the Global 95 countries, research by 1144 business and IT professionals in 26 industries, and interviews with more than 20 academics, business-themed experts, and business Executives, the research provides constructive guidance for companies to gain a better understanding of large data market trends and more accurate measurement of current large data returns. The results of the research paper show that nearly two-thirds (63%) of respondents said that the use of information (including large data) and analysis created a competitive advantage for their organization. This ratio has increased by 70% in just two years, compared with IBM's 2010 global executives of new intelligence companies. ”

The research draws five key conclusions indicating that global organizations are starting from business needs using a pragmatic approach to large data, the white paper provides five key recommendations for companies to step up large data initiatives and get the maximum business value from large data, including: "Customer-centric" and "early-stage" Large data strategic planning ", the development of a comprehensive and complete enterprise" Big Data Blueprint ", start with the existing data, set up and complete the short-term and phased" large data strategic objectives ", according to business priorities, and gradually set up an analysis system, step-by-Step Upgrade" Large data analysis capabilities "and customized measurable indicators analysis of large data ROI ( ROI) ".

IBM Global Business Consulting Services Division business Analysis and Optimization service Greater China general manager Santa said: "The big Data age has two distinct differences-the large number of new data is no longer applicable to traditional databases, while analytical capabilities are crucial to enterprise implementation of large data." These two distinctions come mainly from 4V characteristics of large data: quantity (Volume), multiplicity (produced), velocity (velocity), and authenticity (veracity). IBM believes that while the first 3 v covers key attributes of the large data itself, authenticity is an important dimension that needs to be considered by the current enterprise, prompting them to use data fusion and advanced mathematical methods to further improve the quality of the data, thereby creating higher value. ”

"Intelligent Analysis Insight" as the core: IBM gathered a full range of resources to build the industry's most comprehensive end-to-end, high integration of large data value system

In response to the current enterprise demand for large data, IBM is through intelligent Analysis Insight (Smarter Analytics) to help enterprises to build large data landing strategy, through real effective large data deployment to achieve high value growth. Combining deep market experience and forward-looking innovation concepts, integrating IBM's cutting-edge skills and assets in various fields, such as software, hardware, consulting services, research, and IBM Insight (Smarter Analytics) provides the enterprise with two core strengths: "Big Data Platform" and "Big Data analysis".

• The industry's unique large data platform: IBM in the industry take the lead in the "Big Data Platform" framework for various industries to select and build large data solutions provide comprehensive technical support. With Hadoop system, flow calculation, data warehouse and information integration and governance of the four core technical capabilities, breaking the traditional data warehouse and data management concepts, can provide enterprises with real-time analysis of information flow and Internet-wide source of the ability to achieve more cost-effective large data management and integration of governance, And to lay a solid foundation for the large data analysis above;

• The world's top "Big Data Analysis" capability: IBM leverages performance management, risk analysis, decision management, and content analysis to form a complete "Big data analysis" capability to provide decision makers with comprehensive, unified, and accurate information to help them gain insights into the surge of data and explore business opportunities and values, Make more effective decisions and ultimately improve performance. Its excellent large data capabilities are embodied in a range of leading analytical techniques and tools: Global leading business intelligence and performance management software Cognos, predictive analytics software SPSS, risk management software openpages, Enterprise risk analysis software algorithmics and compensation and sales performance management software varicent, etc.

Ms Li Hong, general manager of IBM Software group Greater China Middleware Group, said: "With ' wisdom analysis insight ' as the core of the large data strategy, the integration of IBM ' Big Data platform ' and ' Big Data analysis ' two strength, to help industry users to achieve decision-making level, risk-resistant ability, overall efficiency, user experience and corporate profitability ' Five Great ascension '. IBM has now built the industry's most complete large data value system, related products and services covering the ' big data ' related to the various stages of the industrial chain, various fields, is currently the only industry can set consulting, service, software and hardware comprehensive strength, provide end-to-end comprehensive integration of the solution manufacturers. At the same time, IBM has extensive practice in the global and Chinese markets, providing solid examples of large data in the industry. In 2012, IBM set up the world's first large data intelligence empowering center in Beijing, aiming at the emerging markets represented in China, mobilizing IBM's global resources, configuring technical experts, testing experts, and cross-industry practices of large data experts, leveraging IBM's superior integration capabilities and industry experience, Help Chinese enterprises in the large data age to obtain strong competitiveness, accelerate the wisdom of growth. ”

Embracing industry: IBM Global Data Practice to address the five business needs, the interpretation of IBM's large data industry strength

IBM has been 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 applications of large data technologies in different industries, and to explore the business value that large data will drive for their businesses. At this press conference, IBM shared five business needs and corresponding large data landing practices, aiming to provide valuable references to more companies that need to deploy large data:

• Use of large data to explore the implementation of the information base: Customer service, insurance, automotive, maintenance, medicine and other industries need to store a large number of knowledge base, and complex solution manuals and knowledge system will cause duplication of inquiries, resulting in system delays and cost increases. In the aviation industry, for example, a global aviation manufacturer deploys IBM Infosphere Data Explore, enabling technicians, support personnel, and engineers to instantly view information from a single access point in different applications; in the first year of deployment, the company's 24x7 support call time from the past 50 The minutes are shortened to 15 minutes, providing a global range of services for an additional 40 aircraft without adding support staff, saving a cost of 36 million dollars a year.

• Achieve customer interaction improvements with a 360-degree full Customer view: Telecommunications, retail, tourism, financial services, and automotive industries will "quickly capture customer information to understand customer needs" as a top priority. By deploying IBM Infosphere Data Explorer, a leading multinational FMCG manufacturer can more effectively search for the most relevant information, thus speeding up the decision-making process, reducing duplication of effort and increasing the productivity of the global workforce.

• Operational optimization Using operational analysis: industries such as manufacturing, energy, utilities, telecommunications, travel and transportation need to focus on emergencies, improve operational efficiency through monitoring, and anticipate potential risks. Pakistan's leading mobile operator, Ufone, has deployed IBM's large data solution to effectively reduce the rate of customer churn by identifying user behavior in real time, conducting marketing campaigns against specific targets, and using predictive analysis to design better marketing campaigns and telemarketing programs. The solution includes leading stream computing tools IBM Infoshere Streams, IBM Cognos and predictive analytics tools IBM, and a full range of hardware and service support.

• Leverage Data Warehouse extensions to achieve it efficiency and scale efficiency improvements: enterprises need to enhance the value of the existing Data warehouse infrastructure through new and large data technology, realize the requirements of structured, unstructured and streaming data transmission, low latency, and query, and ensure the efficient use of predictive analysis and business intelligence to achieve performance and scalability. A car manufacturer successfully leveraged the IBM Infosphere biginsights to enhance the existing data warehouse for rapid deployment and easier management.

• Use security and intelligent extension to achieve crime prevention: government, insurance and other industries enterprises need to use large data technology to supplement and strengthen the traditional security solutions, analysis of new data. Terraechos, a supplier of secret intelligence and Surveillance sensor systems, provides security monitoring of science and technology and resources for customers in the U.S. Department of Energy (DOE) national Laboratories. The deployment of IBM Infosphere Streams,terraechos enables real-time analysis and classification of streaming acoustic data, reducing the time required to capture and analyze 275MB acoustic data in real time from a few hours to one-fourteenth seconds and greatly improve monitoring accuracy.

Input: Strong acquisition policy and innovation, IBM firm in large data areas of long-term investment

IBM has been increasing its investment in relevant areas through strong acquisitions and innovative research and development strategies, and IBM predicts that by 2015 IBM will be expected to earn $16 billion in large data analysis. Since 2000, IBM has acquired more than 35 acquisitions of data and analytics in nearly hundreds of companies. Among the notable acquisitions are the business intelligence software Cognos and the statistical analysis software SPSS: The former created the highest record of a single acquisition in the year, while the latter in XI ' an developed IBM's Global Analytical Software Laboratory, focusing on research and development in the field of large data analysis. IBM completed 11 acquisitions in 2012, of which 5 involved large data and analysis areas, including data analysis and migration software butterfly Software, cloud data analysis software Emptoris and DemandTec, Digital Customer experience management and customer behavior Analysis solutions provider Tealeaf Marvell. In the past February 2013, IBM has announced acquisitions to provide automated service Business analytics software manufacturer Star Analytics analytics software and unstructured enterprise data analysis and management software Storediq.

"IBM is very optimistic about the development of large data and analysis areas in the global market," said Mr. Hu Shizhong, IBM Global vice-president and general manager of Greater China Software group. IBM invests up to 30~40 billion in large data and analysis fields every year, ranking first for 19 consecutive years, with more than 10 patents related to data management. IBM has nearly 9,000 consultants and 400 mathematicians in the Global Business Analytics Solution Center of 6 cities and towns, including Beijing. At the same time, IBM is the world's largest doctor of mathematics employers. In China, in the 3 consecutive years since 2012, IBM plans to invest more than 300 million RMB in the development and promotion of large data and analysis, and through the IBM China Development Center, to introduce the IBM software into the Chinese market with forward-looking insights and innovative technologies in such areas as large data, information management, business analysis, etc. Help China's governments and businesses in the big data age for rapid transformation and intellectual growth needs. ”

More wonderful to do in April 2013 1 August-April 20th, the fourth session of the China Database Technology Conference, Beijing Haidian Sheraton Hotel.

80 percent discount on ticket purchase before March 31.

▲ Registration address of the General Assembly website