Moving large data on the application side

On the recently held 2011 Annual Information on Demand Forum (information on Demand Forum, IOD Forum), IBM officially announced the introduction of new large data management and analysis software and solutions for different working environments, from mobile devices, data centers, to IBM SmartCloud Cloud computing platform, full coverage of multiple platforms, with excellent handling of different types of large data and business analysis of technical capabilities, the introduction of software and solutions to enable customers to calmly face the challenges of the big data age. What's more, IBM has also launched a free app download on the Apple itunes Store to deliver a wide range of financial services, health, government, media, marketing communications, Professionals from all walks of life, such as retailing and travel and transportation, provide help and advantage in Business Analytics anytime, anywhere.

"In the ' Big Data ' era, companies and institutions face many challenges: how to efficiently integrate existing resources such as software, hardware, solutions, and more effectively deal with rapid surges of data," said Steve Mills, IBM Global Senior vice president and general manager of software group and systems and technology. How to use analysis to predict business trends and gain insights so as to grasp the initiative in the fierce competition? How to streamline processes, reduce costs, and create maximum value through the quickest and fastest way? In this fast-changing era, the advent of new technologies has brought with it fresh possibilities--we believe that IBM's new large data management and analysis software and solutions is to bring new possibilities for customers, winning the ' Big Data ' era of cutting-edge technology. ”

IBM: Actively promote the "Big data" era of innovation

This is a "big data" era: every day, sensors, mobile devices, online transactions and social networks around the world generate millions of megabytes of data, and each month, humans post 1 billion Twitter messages and 30 billion Facebook messages; According to statistics, the global 90% Data have been generated over the past two years, with a total of 1 trillion mobile devices worldwide, and the global market value of mobile commerce is expected to reach $31 billion by 2016. In the era of information explosion, enterprises and institutions of different scales are struggling to catch up with the speed and pace of the development of "big Data", and look forward to improving their products and services through the effective use of large data, thus enhancing the experience of customers and audiences.

The 2011 IBM-MIT Sloan School of Management Review (Ibm/mit Sloan Management Review) shows that in a survey of 3,000 executives in 30 sectors in 100 countries and regions, 60% Respondents said they were unable to use all the data effectively. The recent survey by IBM of 1700 chief marketing officers in 19 industries in 64 countries and regions is a further manifestation of the seriousness of the problem: the survey showed that 71% of the chief marketing officers said their companies were not well prepared to deal with the Big Bang.

To help companies cope with these challenges, IBM has introduced new information management, Business Analytics products, and technical resources to make it easy for users to explore and leverage large data:
• New Cloud Hadoop analytics software Infosphere Biginsights can be installed and operational in 30 minutes. The new software helps employees tap into unstructured data from different sources such as social networks, mobile devices and sensors;
• The new mobile analytics application software for IPad users can discover and search any type of data at any time and have a positioning analysis function;
• New predictive analysis software with mapping capabilities SPSS Statistics 20.0 can be applied to many industries, especially marketing activities, retail distribution, crime prevention and academic evaluation of the analysis and prediction;
• New Infosphere information Server 8.7 Filters All types of data in the background and arranges them according to the data quality level, effectively maintaining data security and providing a reliable basis for business decisions;

Cloud Large data analysis: Infosphere biginsights

IBM Infosphere Biginsights, which runs on the IBM SmartCloud Enterprise Enterprise Cloud computing platform, enables any user within the client organization to access large data analysis capabilities. Like the local version, cloud Biginsights can analyze the traditional structured data in a database, and analyze unstructured data such as text, video, audio, images, social media, click Streams, log files, weather data, etc. to help decision makers take action quickly based on data. Bringing large data analysis to the cloud means that customers can capture and analyze any data without the ability to install, run, or maintain hardware and software, even without any Hadoop skills.

The cloud version biginsights provides both a basic and an enterprise version, and can be deployed in a public, private, and mixed cloud. The base version of Biginsight is a free entry-level product that helps users understand how to perform large data analysis, including scenario analysis using bigsheets components for "assumptions" (What if). Once ready, customers can migrate seamlessly to the Enterprise Edition, set up Hadoop clusters within half an hour, and start profiling data. All two versions include a developer test environment that customers can use to develop a new generation of business analytics applications and related tools and test development environments.

Today, market leaders in the banking, insurance, retail, communications and digital entertainment industries are using cloud-based biginsights to analyze large amounts of unstructured data. These industry users understand consumer opinion by analyzing data from social networks, sensors, mobile devices, log files, and sound and video systems, while ensuring the security of computing networks and smart grids, and developing new customer experience programs.

IT pros and students who want to develop Hadoop skills can also take advantage of IBM's new Web site bigdatauniversity.com to learn the basics of Hadoop, streaming computing, open source software development, and learn about database management skills, Thus the knowledge and experience of the data scientists for its reserve become more. There are hundreds of easy-to-use tutorials, video and coding exercises on the Web site that are suitable for developing skills for Hadoop, biginsights, DB2, and WebSphere, most of which are available free of charge. Currently, over 8,000 students from Brazil, Russia, China, India, South Korea, South Africa and the United States are registered on the website.

Analysis at anytime: Cognos Mobile

IBM has expanded its support for mobile devices with its ipad version of IBM Cognos Mobile, and continues to provide more advanced business analytics for the new generation of professionals. Users are currently available for free in the Apple itunes Store. The application can support mobile workers to do business analysis offline or online, without interruption of work due to geographical changes. IPad users can therefore enjoy a wealth of business intelligence visualization experience, analysis of reports, dashboards and scorecard sales, user and financial data, including business data.

This new mobile application can help professionals in key industries such as financial services, health, government, media, marketing, retailing, and travel and transportation to conduct business analysis and benefit from them anytime, anywhere. For example, medical workers can use them to analyze electronic medical records, show patients individualized treatment plans and develop medical procedures based on the results of the analysis; social workers can view the health and quality of life of children in foster homes throughout the city and provide timely updates to supervisors, police and courts on their status. , bankers and insurance agents can use the software to analyze loan or policy data in order to create customized products or services for customers.

Cincinnati Zoo is one of the oldest zoos in the United States, receiving more than 1.2 million visitors a year. Using the IPad version of Cognos, the Cincinnati Zoo provides instant access to the management platform and opens up new sources of revenue through a single view of tourists and business information, increasing the number of visitors. The flexibility of mobile business Analytics allows managers to focus visitor data and park sales data on the IPad and visit anywhere in the park to track visitors ' purchase data and adjust the marketing model and capital investment accordingly. Through the use of Cognos software, Cincinnati Zoo has successfully upgraded its visitors ' garden consumption by 25% this year.

Integration of predictive analysis into maps: SPSS Statistics 20.0

At this year's IoD forum, IBM also announced the introduction of a new software to support enterprises and organizations to obtain geo-data information on the prediction of Statistics 20.0. Through this software, enterprises and organizations can interpret data more effectively, analyze trends, predict and plan, validate hypotheses, and obtain accurate conclusions. The SPSS Statistics 20.0 statistic software includes new mapping features that enable users to add geographic dimensions, analyze and report, and allow users to orient, predict, and plan according to geographic areas. This mapping feature can be used in many industries to analyze data and create statistics to enhance the effectiveness of marketing campaigns, identify retail locations, explore crime hotspots, and provide students with test performance evaluations. The software comes with views and prefabricated map templates from the United States and other countries and continents, and users can quickly add data to the map, including geospatial information from ESRI files.

With this new software, who can monitor more visually the areas where accidents or diseases are high, and can identify differences in care in a state or a country-wide area. Government staff can analyse past and present census data according to urban or population density, identify areas where crime is high to strengthen law enforcement, or update taxes and zoning changes. Direct marketers can position their most valuable customer base and store locations to distribute advertising resources, and academia can use the software to determine the focus of admissions and organizing alumni from a geographic perspective.

Speeding up large data governance: Infosphere information Server 8.7

The ability to analyze large data is the key to the competitive advantage of enterprises. As we all know, the quality of the analysis results depends on the original data, and must ensure that data managers can access the data in a timely manner. As the only vendor with a market-leading information integration and governance platform for large data, IBM provides a platform to ensure reliable information for business users and applications across the enterprise.

The new IBM infosphere information Server 8.7 software supports the consolidation of large data as a source and destination. With its mature and reliable performance and parallel engine, information Server delivers the powerful scalability required for large data. At the same time, IBM announced the introduction of a new generation of Netezza connectors designed to achieve balanced optimization and excellent performance, which is designed to be used in conjunction with the Netezza, which enables the Operation console to view the usage of all integrated mission systems, thereby enhancing the productivity of the integration project.

The new IBM Infosphere Master Data Management 10 software merges IBM's market-leading MDM functionality into a single product to meet any MDM requirements. New features include integration with Business process Management business processes software for MDM-oriented business processes, increased connectivity to consumer applications through adaptive Service interfaces, and a shared-match engine that maintains a unique fact version. MDM technology enables users to better understand customers, products, suppliers, employees, and customers to facilitate further analysis, thus improving the results of large data analysis.

IBM's big Data management and analytics technology helps global customers

Thousands of new customers are now moving to IBM's data solutions to get actionable insights from the broadest range of data. Whether it's collecting data to manage the layout of wind farms, evaluating customers ' opinions on social media sites or predicting potentially fatal infections in hospitals, IBM can help customers from all walks of life extend their data values:
• Danish energy company Vestas Wind BAE by using IBM's large data software analyzes the byte-level weather data to improve the placement of wind turbines to get the best energy output--a few weeks before the analysis can now take less than one hours;
XO Communications Company uses IBM SPSS Predictive analysis software has reduced the customer churn rate by nearly 50%. The company is able to predict customer behavior, identify trends, and identify potential customers who may be transferred to other carriers, thereby taking appropriate measures to stabilize the customer base;
[x+1] is an end-to-end digital marketing platform provider that is using the IBM Netezza Data Warehouse to analyze massive amounts of advertising data in real time, To help its customers achieve a 20% digital sales growth;
• One of the world's largest advertising companies, Ogilvy is using the IPad version of IBM Analytics to help employees allocate resources, track usage rates, and discover new sources of revenue;
In addition, Hertz, Bacon College, Royal Swedish Polytechnic, Many customers, including the Irish Ocean Society, technovated, Terraechos, Ontario Polytechnic University and Uppsala University in Sweden, are responding to the growing, high-speed flow and wide variety of large data through IBM Business Analytics Solutions and use it to make decisions that can change the industry.