IBM (NYSE: IBM) today held an annual conference in Beijing called IBM's Information Management (IM) conference called "Information Management in the Big Data Age." At the conference, IBM explained carefully how IBM Information Management software is used in data warehousing and integration , Governance, optimization, analysis and other areas of advanced technology, and for participants to share how IBM has been through new technologies to help different industries, different sizes of businesses and institutions to deal with the challenges of the information explosion era: to face the surge in high efficiency Of the data, to create a very high value, the information management into practice, to explore the value of the data, eventually winning the big data era. It is reported that throughout 2011, IBM information management software has been gratifying achievements in the market: including the world's leading database products DB2, professional data integration and optimization platform InfoSphere, OLTP industry benchmark data service system Informix, one machine Founder and leader Netezza and other IBM information management of its various types of intermediate-level products and solutions, the achievements of the world's leading technology.
"We look forward to IBM information management software showing a more rapid growth in the coming 2012 and a weapon for information management in the big data era." IBM has always advocated 'Think Big Encourage yourself to think deeply and innovate. "In today's big data age, we have a new interpretation of 'Think Big': Think of All Things That Big Data Makes Possible - Explore the possibilities of big data, And that is exactly what IBM Information Management Solutions is dedicated to creating the value of the time for our customers and we believe that the leading IBM Information Management products and the ever-increasing stream of efficient solutions in the future will lead customers to take advantage of big data opportunities and breakthroughs Challenges of the Times, Winning the Future. "The Times Challenge:" Choosing Big Data "Wins to Win This is an out-and-out" big data era. "According to statistics, 90% of global data are generated in the past two years. Every day, sensors, mobile devices, online transactions and social networks across millions of people in the world generate millions Bytes of data; every month, the global release of 1 billion Twitter messages and 30 billion pieces of Facebook information ... As the information explosion, different sizes of businesses and institutions are struggling to catch up with the "big data" the pace and pace of development, looking forward to Improve the customer and audience experience by effectively using big data to improve its products and services. The 2011 IBM / MIT Sloan Management Review shows that 60% of the 3,000 executives in 30 industries in 100 countries and regions surveyed, Of respondents said they could not effectively use all the data. And recent IBM recent surveys of 1,700 CMOs in 19 industries in 64 countries further underscored the severity of the problem: the survey found that 71% of CMOs said their business did not Be fully prepared to deal with the big data explosion. In response to the Big Bang challenge, IBM unveiled a comprehensive solution for big data that completely breaks through traditional data warehouses and a single data management system that gives organizations the ability to analyze information flows and Internet-wide information sources in real time, Cost-effective big data management and a solid foundation for business analytics and insight on top of this. Dr. Chen Qi, Chief Architect and Chief Architect of Information Management at IBM China Development Center, said: "The turbulent Big Data era poses serious challenges, but there are endless opportunities behind the challenge. IBM can help businesses in all walks of life Of its customers continue to extend the value of their data for the enterprise to explore the driving force of development of our big data platform vision is to integrate big data into the enterprise through IBM big data solutions and client and partner solutions to provide customers with optimized big data Environment, and more effective, timely and cost-effective extraction of valid views from large, diverse and high-speed data to help customers achieve breakthrough insight and value, turn challenges into opportunities and turn big data into high value. "IBM Big Data Solutions: Big Data Windswept IBM Big Data solutions enable enterprise-class reliability and adaptability real-time analytics for big data management with outstanding advantages in the industry. Its broadest platform is fully integrated with data warehousing, data warehousing, data integration, business process management and other components to bring big data into the business and fully meet the needs of a wide range of businesses - just as data management, data integration and governance "And" Optimized Systems "to help companies navigate the big ocean of data and lead the future: Information Management: As the fastest-responding database system, the IMS 12 information management system can be implemented in less than a second 66,000 data processing; DB2 10 based on z / OS operating system can help customers save 10-20% of the cost; relational database Informix 11.7 can provide industry-leading time series ability to achieve at least 30 times the query speed and 20 times the data Loading; Information Integration and Governarce: As the industry's only Big Data platform, the IBM InfoSphere platform takes the lead in data integration and governance. According to statistics, 1000 organizations worldwide have implemented the latest version of InfoSphere Information Server 8.5; InfoSphere platform has been chosen as the trusted data integration and governance platform by leading organizations in 8 major industries in more than 144 countries; Optimized Systems Optimized Systems): IBM is committed to delivering value to customers with the industry's most comprehensive portfolio of data management, hardware, software and services features. At present, more than 1,000 enterprises worldwide have chosen IBM Smart Analytic Systems; for the IBM software family all-in-one member Netezza, the number of contracted customers this year has increased three-fold from a year earlier. IBM Big Data solutions span multiple industries and help multichannel customers analyze their perspectives and experiences. Thousands of new customers are currently moving to IBM's big data solutions to get actionable insights out of the broadest set of big data. Danish energy company Vestas gets the best energy output by analyzing beat-level weather data using IBM Big Data software to improve wind turbine placement - weeks before analysis was completed Now in less than an hour; [x + 1] end-to-end digital marketing platform provider is using IBM Netezza data warehouse to analyze massive amounts of ad data in real time, helping its customers achieve a 20% digitized sales growth. IBM New Information Management Capabilities: Thinking, Innovating, Breaking Through At IBM's 2011 Information on Demand Forum in October 2011, IBM announced a new Big Data Management for different workplaces And analytics software and solutions that span multiple platforms from mobile devices and data centers to IBM SmartCloud cloud computing platforms. With their technical capabilities to handle different kinds of big data and business analytics, these software and solutions can help our customers navigate the big data age challenges: • The new cloud-based Hadoop analysis software, InfoSphere BigInsights, can be installed in less than 30 minutes and invested run. New software empowers employees to tap into unstructured data from a variety of sources, including social networks, mobile devices and sensors. • New mobile analytics application for iPad users Cognos Mobile can discover and search for any type of data at any time with Positioning analysis capabilities • SPSS Statistics 20.0, a new predictive analytics software with mapping capabilities, can be applied across a wide range of industries, especially marketing analytics, retail distribution, crime prevention and academic assessment • New InfoSphere Information Server 8.7 Back-end screening of all types of data, and arranged in accordance with the data quality level, effectively maintain data security, to provide a reliable basis for business decisions; IBM global senior vice president and software group and general manager of systems and technology Steve Mills, said: In the data era, organizations and organizations face many challenges: how to efficiently integrate existing resources such as software, hardware, and solutions to handle rapidly surging data more effectively, how to leverage analytics to forecast business trends and gain deep insight into In the fierce competition initiative? How to streamline the process, reduce costs, in the most convenient and rapid way to create the most value? In this rapidly changing era, the emergence of new technologies continue to bring new possibilities - We believe that IBM's new big data Managing and analyzing software and solutions is about bringing new possibilities to customers and winning cutting-edge technologies in the era of big data. "