IBM launches Intelligent Analytics Insight strategy "3a5 step" to play big data

It is better to teach a man to fish than to teach. IBM's Intelligent Analytics Insight strategy not only provides a package of solutions to the enterprise, but also provides a set of "big data" to be transformed into "big insight" methodology, so that enterprises can win in the big Data age.

Referring to large data, many people will think of Sina Weibo celebrity-"Mr. Bao to speak", he helped an ordinary Beijing taxi driver Tianya calmly cope with Beijing's poor traffic conditions, a significant increase in daily income; he helped telecom operators achieve precision marketing, improve user viscosity, and win the full business operation of the market He helped the Hanting Hotel shorten the budget cycle by 60%, shorten the working time of the annual strategic plan by 90%, and promote the development of the group's business; he could even help the NYPD improve the detection rate.

He is not a real figure, but a tool to win in the great Data age IBM Business Analysis and optimization (Business Analytics and Optimization,bao) solutions. In the April 2009, IBM proposed a "BAO" strategy to help companies calmly cope with the challenges posed by large data.

Three years, IBM in the "BAO" strategy launched a series of products, solutions and advanced consulting services, and through the continuous acquisition of SPSS, Cognos, Netezza and other companies, to provide enterprises with better insight and forecasting capabilities to help enterprises harness large data to achieve high profit growth.

Three years later, IBM decided to make a new round of integration of the products of the acquired enterprise and put forward a new strategy. May 17, IBM held "Intelligent Analysis Insight Forum", the official release based on the Bao theory of IBM Intelligent Analysis Insight Strategy (Smarter Analytics).

An innovation in the value of information

We are ushering in the great data age of the information explosion. IDC research shows that there are 1.8 trillion gigabytes of data in the digital field. Corporate data is growing at a rate of 55% per cent a year. Today, ReadWriteWeb says, it takes only two days to create the total amount of data produced by 2003 since the birth of civilization.

Massive data poses unprecedented challenges for enterprises: IT executives and staff cannot effectively collect, process, and analyze them; On the other hand, CEOs and senior executives are unable to anticipate potential business risks and wait for the loss of business opportunities because they cannot get the information they need in time.

Therefore, the value of data by enterprises more and more attention, a revolution of information value is coming. The United States has begun to focus on big data and its associated value, raising big data to the national will. In March this year, the Obama administration invested 200 million of billions of dollars to launch a "Big Data research and development program" that would enhance the ability to collect massive amounts of data and analyze extraction information.

At the same time, an increasing number of companies are seizing the opportunity of the "Big Data" era: the 2011 Global Executive Survey and research project for new smart companies, jointly held by MIT Sloan Management Review and the IBM Institute of Business Values, said that in 2011, 58% Companies have used analytical technology to create competitive advantages in the marketplace or industry, achieving business value, up 21% from 2010.

"Big data is bringing about a change in the information society," said Hu Shizhong, IBM Global vice president and general manager of Greater China Software group. Extensive application of structured and unstructured data and streaming data the enterprise needs to rethink its existing it model; At the same time, large data will drive the enterprise to another business transformation based on the information revolution, enabling enterprises to gain greater business value and development opportunities by leveraging large data insights In the fierce market competition to stand out. ”

This time, IBM put forward the wisdom of analysis insights will become an important strategy for enterprise growth and transformation, to help enterprises successfully to "big data" challenges into opportunities, and ultimately from the "Big Data" to "great insight" of the major transformation and innovation.

IBM Global Business Consulting Services Division business Analysis and Optimization service Greater China general manager Santa said: "In the big Data age, ' insight ' has become a vital requirement in every aspect of the enterprise." IBM offers a ' big insight ' concept that provides four aspects of insight into enterprise customers through IBM's insight. ”

The first is through customer behavior analysis to retain customers, and on this basis to achieve the continuous growth of customer groups. Second, through the information management, business analysis, content management and other advanced means to help enterprises optimize it level and business processes, improve operational efficiency. Third, through the business analysis through the financial planning process, insight into the enterprise profit and cost sources, improve the processing time and integrity of the settlement process to promote financial process transformation. The Forth is to incorporate analytical insights into the traditional and emerging risk categories, predict future regulatory requirements and detect fraud, and help companies manage risk, fraud, and compliance.

(Responsible editor: The good of the Legacy)