Big Data applications, big data is a source of new technology development. In the near future, maybe a lot of the original applications of human beings rely solely on the judgment, and ultimately will be data analysis and data mining capabilities of the computer system, the general change or even replace.
In the big data era , the With big data highlight the value of big data applications is also gradually penetrated all walks of life are inseparable from big data, decision-making, application and development of big data, a profound impact on the development of society.
Big data decision: to become a new decision-making
Decision-making based on large data, derive value from the data, so that data-led decision-making, is an unprecedented decision-making, and are driving the repositioning of guidelines for the management of human information. With big data analytics and predictive analytics to influence management decisions gradually increased, relying on intuition to make decisions situation will be completely changed.
2009 outbreak of the H1N1 flu, Google the company is by looking at a large number of people online records search in flu outbreak a few weeks ago, it is determined that the flu is spread out from where, so that the public health agency officials gained valuable data and make decisions targeted action, and this ratio to determine the CDC, ahead of a two weeks. American Farecast system, its function is to airfare prediction, which through large amounts of data obtained from the tourist sites, analyze 12,000 samples price within 41 days, a specific analysis of sales prices of all airline tickets, and predicts the current ticket prices have gone down trend in the next period of time to help passengers choose the best virtual ticket opportunity, and reduce the considerable cost of tickets.
Big Data Development: to promote the emergence of new technologies and new applications
Big data applications, is the new big data technology source development. In the near future, maybe a lot of the original applications of human beings rely solely on the judgment, and ultimately will be data analysis and data mining capabilities of the computer system, the general change or even replace. A small piece of the appropriate information, and perhaps will lead to innovation a major step forward; a set of data may also be applied for data collection begin to imagine, and may even be applied in other areas of seemingly unrelated.
Big Data applications: to promote the depth of integration of information technology with the industry
Experts have pointed out, big data and big data analytics will change virtually every sector of business functions in the next 10 years. From scientific research to health insurance, from banking to the Internet, various areas are the amount of data in the event of explosive growth. In the 17 industries in the United States, there have been 15 major companies have a large number of industry data, the average amount of data has been far more than the amount of data owned by the Library of Congress.
In the manufacturing sector, manufacturing companies to manage product life cycle will use the IT systems, including computer-aided design, engineering, manufacturing, product development and digital manufacturing management tools, manufacturers can create a product lifecycle management platform, PLM (Product Lifecycle Management) , which will integrate a variety of data collection systems, work together to create new products.
In the medical and health industry, according to McKinsey predicted that if have the conditions related to the IT infrastructure, databases, investment and analysis capability, large data in the next 10 years, the US medical market to get the new value of the dollar every year 300 billion and cut 2 / National health expenditure 3.
In addition, in the fields of transportation, energy, materials, trade and service industries, and even in the field of news media, they are also in with large data integration for the development of an opportunity to accelerate these industries and information technology depth.