Large data: The direction of future innovation, competition and productivity

We live in a world where the volume of data expands rapidly, and mass data analysis, the so-called "big Data", will be the target of future productivity development, innovation and consumption demand growth. According to a new survey conducted by the McKinsey Global Research Institute (MGI) and McKinsey's Business technology office, any industry leader has seen the unprecedented potential and significance of big data. Enterprises can obtain the specific information and the volume of the growing, multimedia, social media, the Internet of things will greatly increase the information available to the enterprise in the future.

MGI in the medical, public, retail, manufacturing and personal positioning of the five areas of detailed study of large data development trends, and obtained the following report analysis. Large data can create more value in any industry. For example, the retail industry can use large data to raise 60% of operating profit, if the medical industry full use of large data to ensure that the health care system safe and efficient operation, each year to create more than 300 billion U.S. dollars worth (only the United States), while reducing the cost of 8% of health care (US only). If applied to the public sector, European governments could reduce spending by € 100 billion a year, while effectively avoiding tax evasion. At the same time, if the service industry captures large data opportunities, using personal behavior information can http://www.aliyun.com/zixun/aggregation/30333.html "> stimulate consumption and bring in 600 billion dollars in turnover." Big data is so tempting, let's take a look at McKinsey's detailed analysis from 7 perspectives:

All walks of life have a large amount of data available for analysis, and data analysis has been parallel to labor and capital status in product manufacturing. According to McKinsey, in 2009, businesses with more than 1000 employees in all sectors of the U.S. economy produced an average of at least 200 trillion bytes of data (twice times larger than Wal-Mart's 1999-year database).

Five ways to use large data to add value. (1) By making the data more transparent and usable, large data can liberate more value. (2) Organizations can use the data generated during the sale of products to determine the time of inventory, the shelf time, more effective management of goods, rich product categories, improve performance. Many big companies have begun to use large data to make management decisions, and companies have used large data to give the original value of the backlog of goods. (3) Large data can be "picky" guests to provide thoughtful and meticulous products and services. (4) Make use of large data, do more complex analysis, improve decision-making ability. (5) Large data can be used to improve the next generation of products or services. For example, manufacturers can analyze the large data to judge the quality of the product evaluation, to improve after-sales service, improve customer satisfaction.

The use of large data will be the key to the competitive development of private enterprises. From the point of view of competitiveness and creating more value, all enterprises must pay attention to large data. In most industries, competitors and new entrants will start using deep analysis of large data and real-time data to improve innovation, competition and value creation strategies.

The use of large data will set off a new wave of productivity development and stimulating consumption. Stores can use large data to increase operating profits by 60%, as well as to generate more profits for businesses and organizations. If the service industry captures large data opportunities, the use of personal behavior information can stimulate consumption, resulting in 600 billion of dollars in turnover.

Obviously, large data can be used in all walks of life, and some industries may bring unprecedented development because of the introduction of large data. The computer industry, the electronics industry, the information technology industry, and the financial and insurance industries, as well as the government, can benefit from the big data and gain unprecedented development.

Because the introduction of large data, may in a short time cause the shortage of information analysis talent. By 2018, it is expected that only the United States will need 14.19 million information analysis professionals, and 1.5 million of managers and analysts who know big data. Big data not only improve the value of the industry, but also to stimulate employment!

The snatch of large data brings a few sentences that also need to solve some thorny problems. Privacy, security, intellectual property, reliability are urgent problems to be solved. Enterprises need not only invest in talents and technology, but also optimize the process and structure to meet the needs of large data. At the same time, data sources are also very important, the enterprise needs from a number of areas of mobile phone data, can also be purchased from a third party, the most important thing is to quickly join the ranks of large data!

(Responsible editor: The good of the Legacy)