What does human resource management innovation mean in the era of big data?

Big data usually refers to a data set with huge data volume and various data types, and its content cannot be crawled, managed and processed by traditional database tools. Its main features are huge data volume, diverse data types, low data value density but high commercial value, fast data update and strong timeliness. Technically, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and it must adopt a distributed architecture. Distributed data mining of massive data must rely on distributed processing of cloud computing, distributed database, cloud storage and virtualization technology.

In the era of big data, the business environment of enterprises is characterized by data as the basis of decision-making, information system as the platform for data integration, and network sharing of data. With the rapid development of human resource management theory and management practice, enhancing the professional level of human resource management is the key to expand and deepen the functions of human resource management. In the process of promoting the professionalization of human resources, big data has played a vital role, making the concept, technology and skills of human resources management more scientific.

In the era of big data, human resource management will rely on advanced technology platform to centralize, standardize and manage talent information in time, improve the efficiency of human resource management and realize efficient management.

First, make an effective management plan.

In the face of the rapidly changing environment and corporate strategy in the era of big data, corporate human resources departments should improve their insight and formulate human resources strategies and plans consistent with corporate strategies.

Second, improve enterprise recruitment.

The purpose of recruitment is to solve the matching problem between enterprise positions and candidates, and big data can accurately complete this matching process. In the era of big data, there are more channels for people to obtain information, more channels for information communication between employers and employees, and more transparent information. For enterprises, the traditional recruitment personal information is written by the applicants themselves. Nowadays, big data technology can query and dig deep into candidates' information from social networks, so that enterprises can better understand candidates' situation and make candidates better match positions.

Third, improve training.

With the advent of the era of big data, enterprises should not only popularize big data knowledge to employees, but also constantly cultivate and strengthen employees' ability to integrate data, tap data value and make action plans, and enhance their insight and execution of future business. At the same time, strengthen the training of data processing ability, the use ability and data sensitivity of Maituo information system.

Fourth, strengthen performance appraisal.

Use big data technology to evaluate the performance of talents and evaluate employees in many aspects. Mining potential information from the data, such as employees' work attitude and work adaptability.

Promote the great integration of various resources in the era of big data, and promote new models and new people; Data will gradually become an important factor of production for enterprises, and the decision-making of enterprises is increasingly dependent on data mining. Enterprises can meet the challenge and seize the opportunity of big data by thinking about the overall return of data strategy. On the one hand, they should be good at using tools to process and mine data and seek data value and business opportunities; On the other hand, it is necessary to analyze the external environment, respond quickly, formulate and adjust the enterprise strategy, and at the same time actively seize business opportunities, improve the innovation ability of enterprises, provide personalized services and gain competitive advantages.