用大数据监控员工（Monitor employees with big data）.doc

用大数据监控员工（Monitor employees with big data） Monitor employees with big data San Francisco district (SoMa) is the aggregation of sumaq start-up. On a back street in the District, a fast growing company is busy studying how millions of employees work every day. The companys computer system is able to judge in real time the reasons why an employee is hired, how their labor productivity, and even after employees change their new job, can continue to follow the study of them. Evolv is the leader of the new quantitative office space campaign; in this movement, the big data analysis firms that measures how we work with data measures have sprung up like mushrooms. Evolv co-founder and CEO Marxs Cove (Max? We can find more tracking indicators every week, Simkoff said. He said this would help increase labor efficiency by at least 5% in 2/3 of the work. The economist Information Agency (Economist Intelligence Unit) a recent study published in the world, the human resources department, said more than three years ago using data analysis more than 1/2. Fortunately, many employees still dont know anything, and some of their private information may seem to them to be analyzed by their managers. Evolv is currently analyzing more than 500 million employee data points from 13 countries, trying to identify patterns of employee behavior in different industries and industries. These data points include the frequency of interaction between employees and their superiors, and the time required for employees to arrive at the office. Evolvs clients use these data points to provide a reference for their hiring decisions and to assess employees performance throughout their career. So far, Evolv has focused primarily on the industry directly facing customers, such as retailers and call centers. One of the companys clients is the recruitment agency, Kelly. Kelly says the overall efficiency of its workforce has increased by 7% since it incorporated Evolvs views into its own recruitment policy. Novo1