How IBM "eats" Big data

The big data concept was surging in 2012. Gartner reported in October this year that global IT spending is expected to exceed $3.7 trillion trillion in 2013, a 3.8% increase from the 2012 forecast of $3.6 trillion trillion. But the big data business will bring more surprises.

This is the hottest concept after cloud computing, the biggest business opportunity. A large number of well-known companies, including Microsoft, Google, Amazon and IBM, have nuggets of the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea.

At the macro level, social networks, mobile Internet, enterprise information in recent years have been rapid development, the constant production of massive data will increasingly affect the enterprise from tactical to strategic development in all aspects, this is a huge challenge, of course, is an opportunity, because in the big data behind, will be an excellent opportunity for it vendors to leapfrog to business intelligence.

As an "elephant Dancing" representative, IBM has successfully completed its transition from it vendors to business intelligence providers in recent years. One important reason is that IBM is one of the early-anticipating, decisive companies that lay out large data areas.

Outlook and Layout

IBM's layout in recent years, we will find that, over traditional BI, IBM has redrawn a new pattern of large data penetration.

Data mining technology and ideas are among the more popular it areas before the "Big Data" is formally presented in McKinsey's report. In business, economics and other fields, decision making will increasingly be based on data analysis, rather than more experience and intuition than in the past, a typical case in which a dozens of-person data analysis and mining team is behind US President Barack Obama, who has won re-election this year, to help it get effective voters, advertise, Play a role in raising funds.

And as a technology giant in the field of business intelligence, IBM's "Insight" has been launched early--since 2005, IBM has invested 16 billion of dollars in 30 big-data-related acquisitions, many of which are more than $1 billion trillion. In 2007, for example, IBM spent 2 billion of dollars to buy a business intelligence software supplier CONGNOS;2009 July, IBM $1.2 billion to acquire SPSS software, this is a data collation, analysis function in a statistical analysis software; September 2010, IBM Netezza The database analysis provider with a cost of 1.7 billion dollars.

This series of layouts has led to steady and rapid growth in IBM's performance. 2012, IBM stock price exceeded the 200 dollar mark, the cumulative rise of more than 9%, 3 years, the share price doubled 3 times times.

At the same time, IBM's own technical team's efforts are clear. A few years ago, IBM began experimenting with Hadoop in its labs and, in 2011, incorporated products and services into the Business Edition, before Oracle and Microsoft announced they would actively accept the platform. May 2011, IBM launched the Infosphere biginsights software. This package includes the Apache Hadoop release, the Pig programming language for MapReduce programming, connectors for IBM's DB2 database, and IBM Bigsheets. The biginsights and bigsheets are then provided as a service through the IBM Smart Cloud Enterprise (SmartCloud Enterprise) infrastructure, allowing customers to not buy supporting hardware, There is no need for it expertise to learn and experiment with large data processing and analysis functions.

This May, IBM's insight into the analysis of the official release, for the large Data Environment, the enterprise depicts a magnificent strategic blueprint. On this basis, IBM in August formally set up a large data intelligence center, comprehensive integration of internal resources, set up a financial software, hardware, services as one of the large data platform for enterprises to provide easy to implement, low-cost, high efficiency of large data solutions.

Data show that IBM Research Institute in the field of large data for more than 3 years, currently has 100 large data project customers. IBM has invested 14 billion of billions of dollars in business analytics, including 24 acquisitions and the gathering of 8,000 analyst advisers.

In particular, IBM's full set of large data solutions is: Leveraging IBM's advanced technology and industry based business experience, as well as a solid IBM business exploration methodology to help companies analyze data types and data application habits, business evaluation for enterprises: demonstration and solution recommendations.

"Carrot and stick", focus on the future

It is a common understanding that large data will change the layout of business Intelligence (BI) and provide a valuable source of data and analysis for the enterprise. In this area, in addition to a series of business projects and data analysis platform based on Hadoop transformation, Oracle, SAP and other IT enterprises are also becoming more and more intense competition, IBM in this respect "carrot and stick", continue to play its leading role in the field of business intelligence.

In a comprehensive way, IBM's solution, not only has large data integration machine and other hardware platform and infrastructure platform, as well as analysis platform, including text analysis, emotional analysis, based on flow data analysis, to ensure and improve data collection, analysis, security control, and ultimately ancillary decision-making.

The "soft" side is mainly in the layout and strategy, including a series of previous acquisitions for data analysis, business analysis, and ongoing creation of research projects and institutions, based on which a viable commercialization strategy has been developed, including collaboration with nearly 100 partners to launch large data projects.

In August this year, IBM's world's first large data center for Intelligent Energy (competency) was formally established in Beijing to build a complete and large data strategy system for business evaluation, demonstration, deployment to personnel training. IBM said that the large data Intelligence Empowerment Center will call from IBM's world's top large data talent, including VP-level Technical experts, renowned industry testing experts, as well as a deep customer practice and cross-industry practice of large data experts, fully condensed IBM in large data advanced experience, Improve the theory and leading technology, cohesion to assist IBM China's large data-related team, tailored to create a large data age of the "winning solution."

At the same time, IBM is also focused on training people in the field of large data skills. IBM is working with more than 200 universities around the world to develop courses and provide technical support for relevant training and business analysis. In addition, IBM offers free skills training camps on 1200 sites, 38 innovation centers and online data management platforms.

At the hardware architecture level, IBM has released a large data all-in-one pure data in its "global expert system Puresystems" family, based on the X86 architecture, which includes a range of servers, configuration switches, storage, and other software to provide transactional, operational, and analytical capabilities, Compete directly with Oracle's Exadata, Exalogic and Exalytics.

IBM says more than 700 partners are currently supporting Puresystems and have launched more than 200 solutions and applications that are suitable for puresystems operations. Puredata will provide a new platform for this open collaboration model and motivate more partners to develop solutions for Puredata. This openness to partners is an important differentiator between IBM expert integration systems and competing products.

As you can see, IBM is taking big data as its fuel for accelerating the "wisdom" and "intelligent" transition, and if it succeeds in "eating it", then the arrival of the big Data age will make IBM go further in the field of business intelligence analytics.