Big change big data

With the rapid development of next-generation information technologies such as cloud computing, mobile Internet, and the Internet of Things, the level of social informatization has greatly increased, and global data is erupting at an unprecedented rate. In the face of such a situation, who can be exposed to big data, how to lay out a big data strategy, how to make use of big data decisions, whether to become a big data stalker, or whether to be a victim of a data tsunami? The government and companies are widely concerned.

Big data has been hailed as a "wisdom treasure" for corporate decision-making. Faced with the uncertainties and unpredictability brought about by big data, corporate decision-making and operating models are undergoing disruptive changes. Traditional top-down, strategic decisions that rely on the experience and judgment of a small number of elites are declining. One is bottom-up. The social decision-making model, relying on data insight, is gradually emerging.

Big data is hailed as the fourth paradigm of scientific research. Following the paradigms of experiment induction, model deduction, and computer simulation, data-intensive scientific research based on big data was separated from the computer simulation paradigm and became a new research paradigm. The big data paradigm characterized by full sample, fuzzy calculation, and heavy correlation not only promotes the reform of scientific research methods, but also promotes the dramatic transformation of human thinking.

Big data is hailed as "new oil in the 21st century." According to statistics from U.S. research institutions, Big Data can bring US$300 billion in U.S. medical service value each year, 250 billion U.S. dollars in value to Europe’s public administration, help U.S. retail industry increase its net profit by 60%, and help the U.S. Manufacturing reduces product development and assembly costs by 50%.

Obviously, the application of big data is expanding from the corporate domain to the social sector, and it is rising to the national strategic level. The industry with a sound information base has become the forerunner of big data applications.

In the Internet industry, big data has become a support tool for precision marketing. Taobao OceanBase database meets the needs of high performance, high capacity, high reliability and low total cost of ownership (TCO), driving massive amounts of structured data, helping Taobao grow into a leader in precision marketing.

In the financial industry, big data has become a strong support for scientific decision-making. CITIC Bank's credit card center has implemented near-real-time business intelligence (BI) and second-level marketing by deploying a big data analysis system. The average time for each marketing campaign configuration has been shortened from 2 weeks to 2 to 3 days, and the transaction volume has increased by 65%.

In the telecommunications industry, big data has become an effective way to transform intelligent pipelines. China Mobile Guangdong Company has constructed a new generation detailed billing and enquiry system, which can provide users with real-time inquiries on detailed bills and greatly improve customer satisfaction.

In the retail industry, big data becomes a necessary means to control market dynamics in real time. Nongfu Springs increased sales by about 30% through big data analysis technology, and shortened inventory turnover from 5 days to 3 days, while its data center energy consumption was reduced by about 80%.

Whether it is the national big data strategy or the fourth paradigm of scientific research or the new mode of corporate decision-making, big data is undoubtedly moving from theory to practice. It is based on the judgment on the commercial value and social value of big data. China Computer News and CCID Consulting initiated the research on the application of big data industry, and will successively publish excellent cases of big data applications, which will serve as a discipline and technology for big data. The progress of the application contributes to the power of professional media. We are not alone, because we not only received positive responses from the Internet, finance, telecommunications and other industrial applications, but also received widespread recognition from Intel and other technology and solution providers. We see that a new big data ecosystem has taken shape.