U.S. experts: Large Data analysis talent supply and demand imbalance, 2015 global related positions over 4 million

Ahalt, a professor at the University of North Carolina at the "2013 China Computer Conference" held in Friday, said
Large data areas of the imbalance between the supply and demand of talent, is expected to http://www.aliyun.com/zixun/aggregation/37255.html ">2015 years of global data analysis and related jobs will be more than 4 million, It is expected that each large data job will be able to indirectly drive 3 other jobs.
Stanley believes that the current large data industry has many successful applications, such as courier company UPS through its thousands of truck sensor data analysis, can reduce the 5.3 million miles per year, save about 650,000 gallons of fuel, and reduce 6,500 tons of carbon dioxide emissions, Intel uses large data analysis to help its distributors make decisions, averaging about 20 million more sales.
The U.S. government can save 300 billion of billions of dollars a year in health care by making big data decisions, and European public administrations can save € 250 billion a year through relevant applications.
Due to many successful applications, large data analysis has been gradually valued by enterprises. The average efficiency of companies using data to make decisions is 5% to 6% per cent higher than the year before, Stanley said.
According to a 2012 survey, 78% of employers agree that there is a shortage of large data areas and a mismatch between supply and demand in large data areas, with about 1.9 million jobs expected in the United States in 2015, but only 30% employers can recruit relevant talent, Stanley's data show.
Stanley said that large data applications as a bridge between data producers and data consumers have become more important, and the number of related jobs has increased significantly, predicting 2020 data-related management and software development needs will grow by 32%.