How big data helps human resources management

How big data helps human resources management

A powerful tool for mining the value of data

The story of "beer and diapers" is well known in this era.

As one of the most classic marketing cases, "beer" and "diapers", two seemingly unrelated products, were sold together but achieved very good profits. The secret is It lies in the clever use of the correlation between products.

Nowadays, the tool that can effectively mine this correlation and its value is big data.

Jack Ma said: "When we haven't figured out what a personal computer is, the Internet has arrived; when we haven't figured out what the Internet is, the era of big data has arrived."< /p>

In the era of big data, all walks of life are experiencing the baptism of the wave of big data. They have begun to re-examine their industry positioning and gradually upgrade data resources and data value into their core strategies, lest they fall behind the times. The back end of the industry, and the human resources industry is no exception.

At the "Big Data Application Seminar" held by Beijing Caiyuan International Cultural Exchange Company on September 16, Professor Wang Tongtong, a researcher at the Chinese Academy of Personnel Sciences, and Dr. Li Xiang, Vice President of JP Morgan Chase, Beijing Ms. Tan Canyu, general manager of Caiyuan International Cultural Exchange Co., Ltd., and other experts and scholars with rich experience in big data attended the meeting and shared with the guests how to build big data in human resources.

Big Data Human Resources Management

As an expert consultant on the "National Medium and Long-term Talent Planning Outline (2010-2020)" of the Central Talent Work Coordination Group and Vice President of the China Talent Research Association, Professor Wang Tongtong gave an in-depth interpretation of the "Action Outline to Promote the Development of Big Data" issued by the state on September 5.

Professor Wang believes that big data is a collection of data with the main characteristics of large capacity, multiple types, fast access speed, and high application value. It has the magical power of sufficient, strong grabbing power, and timely refresh. The essence is to gain insight into relationships, needs and trends, and is a tool for humans to understand the new world. The so-called "big data promotes the upgrading of thermal resource management" refers to the transformation and upgrading in the direction of refinement, timeliness, humanization and intelligence.

Professor Wang said that big data human resources management can be roughly interpreted from the following seven links:

1. Big data education

Based on the Internet and big data Data and cloud computing talent cultivation can greatly improve the quality and efficiency of talent cultivation, and people can conduct learning activities at any time, anywhere, and at any time.

Big data education can use cloud textbooks, cloud schools, cloud exams, etc. Through courses based on the Internet and big data, Peking University has doubled its contribution to the cultivation of social talents. What Confucius said more than 2,000 years ago is that "education without discrimination" has truly been realized today.

2. Big data recruitment

In the past, due to the lack of accurate descriptions of recruitment targets, it was difficult to grasp who the suitable candidates were; coupled with the lack of openness and transparency, it was easy to produce Unfair and unjust recruitment, even "carrot recruitment". With the support of big data methods, foreign countries have improved this process and significantly improved the quality of recruitment.

Recruiters can give job seekers a score from various dimensions, such as professional background, professional influence, ability status, personality characteristics, career tendencies, etc. The advantage of this is that data is used as a measure of talent. The premise is that using models as the standard for evaluating talents can quickly and effectively screen and ensure the quality of recruitment.

3. Big data management

Big data management can be precise and accurate. The daily management of enterprise employees, such as attendance status and diligence status, can all be carried out with the help of big data.

4. Big data employment

Every company will generate a large amount of data traces. By analyzing the data communication between employees, we can not only understand the personal performance of employees, but also understand the performance of employees. Cooperation status, so that effective measures can be taken to improve the cooperation efficiency of the team within the enterprise, and even before the team is formed, the cooperation situation and possible problems among the team members can be predicted, allowing the company to benefit in the long term.

5. Big data assessment

Assessment is an important part of human resources management.

Under the guidance of big data ideas, organizations can record employees' daily workload, specific work content, and work performance through software. Renhou uses cloud computing to process and analyze these data to learn about employees' work attitudes, loyalty, enterprising spirit, etc. .

6. Big data salary

In order to gain competitiveness among domestic and foreign peers, it is necessary to refer to the data provided by big data to regulate corporate salary levels. Cloud computing technology allows you to quickly solve such problems.

7. Big data evaluation

Big data can evaluate talents, which is a new idea.

Professor Wang Tongtong believes that before the advent of the big data era, no one could figure out a person's "social relationship synthesis", but now "search engines" have appeared in society, and information warehouses have There is more and more information, making it difficult for bad elements to hide and hide, and excellent talents can also dig out it in turn. Therefore, he believes that big data methods are a powerful tool for talent research.

In addition, he also explained to the participants what the outline conveyed:

(1) Big data has become a new driving force for economic development and transformation;

(2) Big data has become a new way to improve government governance capabilities;

(3) Big data can build a new system of people-oriented livelihood services that benefits all people;

(4) Big data It should take the lead in promoting applications in the fields of employment security and education and training to stimulate mass entrepreneurship and innovation;

(5) The development of big data requires strengthening information collection, preservation and analysis capabilities;

(6) Big data can promote precision in government governance;

(7) The government should cooperate with society to develop big data pilots, including in the fields of labor employment and income distribution;

(8) ) Develop big data science and actively cultivate big data technology and application talents.

The "Outline" clearly requires the establishment of policy mechanisms in seven aspects:

1. Establish a national big data development and application coordination mechanism.

2. Accelerate the construction of laws and regulations, and actively research systems in data development and protection.

3. Improve the market development mechanism and encourage cooperation between the government, enterprises and social institutions.

4. Establish a standard specification system and actively participate in the formulation of relevant international standards.

5. Increase financial support and promote the construction of a number of internationally leading major demonstration projects.

6. Strengthen the training of professional talents and establish and improve a multi-level and multi-type big data talent training system.

7. Promote international exchanges and cooperation and build and improve international cooperation mechanisms.

Looking at Big Data from a Business Perspective

At this conference, Li Xiang, Vice President of JPMorgan Chase in the United States, discussed the characteristics and technologies of big data with the theme of "Looking at Big Data from a Business Perspective" The basics and application experience are explained.

Li Xiang believes that big data still faces overwhelming tasks and the right people are needed to solve the problems. Increasing costs also make it impossible to capture 100% of the data. In addition, privacy issues and uneven data quality are currently difficulties faced by big data reduction.

Of course, the benefits of big data are also obvious. It allows companies to have better competitive advantages, make trend estimates and predictions, and make better business decisions. Effective marketing can increase customer satisfaction, and big data can also increase innovation and the development of next-generation products.

Big data helps talent training

As a professional organization that cooperates with relevant national ministries, research institutions and universities to carry out projects, Beijing Caiyuan International Cultural Exchange Co., Ltd.’s main business includes big data related We provide training, cooperation, consultation, etc., and also conduct etiquette project training and corporate management consulting.

For the successful holding of this conference, Tan Canyu, general manager of Beijing Caiyuan International Cultural Exchange Co., Ltd., spoke highly of it and said that with the full cooperation of experts and scholars, the company will take advantage of policy trends to provide Contribute to the healthy development of the big data industry and cultivate and deliver more excellent talents to the industry.

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