Zhiyuan Internet Salary Force | Cloud Computing, Big Data, Reshaping the Value of Human Resource Management

time:2022-11-27 01:31:53 source:scripttoolbox.com author:A main board
Zhiyuan Internet Salary Force | Cloud Computing, Big Data, Reshaping the Value of Human Resource Management

Digital transformation has changed many aspects of the business society and has become an important driving force for current development. As an important part of enterprise management, human resources are also experiencing opportunities and challenges brought about by digitalization. In the process of enterprise innovation and development, due to changes in service scenarios and service models, the talents needed by enterprises and the way of talent management are also changing. , How to build a more competitive talent team and other issues are all issues that enterprises must consider when moving towards digital human management. At this stage, the integrated human resources management digital management platform represented by Zhiyuan Internet Payroll Human Resources Cloud uses new technologies such as cloud computing and big data as means to realize the integration, intelligence and dataization of human resources management of enterprises, so as to provide Organization and employee empowerment, realize the upgrade of efficiency in the core business scenarios of the enterprise, and reshape the value of human resource management. Dynamically reflect basic personnel data to provide support for daily decision-making in human management. At present, the talents of enterprises tend to be younger, pay more attention to workplace experience, and have more diverse job choices. Therefore, the mobility of talents is improved. How to retain talents and ensure The stability of talent organization is an important issue that enterprises and human resource managers need to think about. On the Zhiyuan Internet Payroll Human Resources Cloud Platform, for example, you can display the number of employees, position structure, education background, age, etc. through custom data indicators, and clearly display the basic overview of the organization's internal talent resources during the enterprise cycle. The human resources department Corresponding data reports can be output regularly and compared with data in different periods, so that managers can have a comprehensive and dynamic grasp of the current situation of the enterprise's talent organization. Talent data can be reused in different scenarios, allowing data to be compared, and you can see which part of the talent is more stable, which positions have higher talent mobility, etc., you can use digital to analyze and predict enterprise talents, and assist HR to prepare talents in advance. It can also better perform performance management and talent training for existing employees, and help the human resources department to improve the management level. Refinement of human resources management and timely adjustment of details of human management processes Human management work faces many tedious affairs, involves more complex sectors, and has a large workload, which makes many HRs deeply troubled by overtime. Therefore, helping HR to find the weak links in the work and optimizing the work mode and process are the key measures to improve work efficiency. For example, in the Zhiyuan Internet Payroll Human Resources Cloud Platform, for the most common recruitment links, you can set data indicators, and after a period of monitoring and analysis, you can find that the recruitment cycle of a certain position has become longer, or the recruitment rate of the recruitment channel is very high. Low-level, so that HR can analyze the current recruitment difficulty of certain positions through data, make plans in advance, and adjust the recruitment channels in a timely manner, so as to avoid wasting a lot of time in channels with low recruitment rates and causing pressure to work . Through these data analysis, HR can keep abreast of market conditions, and through internal and external comparative analysis, it can give early warning to managers at any time, and adjust the company's human resource management policies in a timely manner. Comprehensive analysis of employee cost data to assist in formulating reasonable talent planning strategies The disappearance of demographic dividends has made the cost of employment a more common problem. How to improve human resource management has become a problem that enterprises and human resource departments need to think about. In human resource management, it can help the decision-making level of the enterprise and the senior human resources managers to make auxiliary decision-making by analyzing data such as employment cost, employee performance statistics, and employee satisfaction. In some typical business scenarios, such as employee salary management, HR can check the salary level of employees in different positions through the Zhiyuan Internet Salary and Human Resources Cloud, and can also use intelligent salary big data statistics to understand the average salary trend in the market. When recruiting personnel or formulating employee salary increase plans, costs can be reasonably controlled according to the average salary level. Traditional enterprise personnel management relies more on subjective judgment, and it is difficult to find real problems, resulting in deviations in decision-making. Zhiyuan Internet Payroll Human Cloud helps enterprises to accurately analyze employee behavior, performance evaluation, compensation and other data in a timely manner. Provide an effective basis for decision-making, so that the enterprise's human resources management system and management model can be innovated to effectively solve the problems in the business, in-depth insight into each module of human resources management, looking for problems in human resources management, and constantly optimize the talent structure of the enterprise to create a more competitive Advantageous talent organization, thereby promoting the transformation and development of enterprises.

(Responsible editor:Tablet PC)

Related content