Managing human resources has been a challenging task in every organization. From payroll to employee dispute settlements to controlling the attrition of the employees managing human resources is daunting.
In recent years analytics is being used in human resources to make it more efficient and streamlined. Just how can it be used to make it more efficient?
Analytics and AI in Human Resources
Data analytics is the process of collecting information and analyzing it so as to make the data more plausible. This combined with the use of artificial intelligence can make managing human resources much easier. In the case of payroll distribution, employee’s performance, attendance, etc are used as factors that determine the amount of salary that must be credited to each employee and it defers. Now using artificial intelligence the whole process can be made easier. The information will be collected by the algorithm from the database and the data will be automatically calculated.
Data Analytics to reduce Employee Attrition
Employee attrition has been a serious problem for all organizations. The lower the attrition the better it is for the organization. Using data analytics the work environment of the employees can be tweaked to make it better for them to work on. The employees can be asked to fill in a questionnaire with the sole intention of assessing their mental and emotional health. Using data analytics the employees having low mental health can be zeroed in and can be helped. Areas in the organization where the level of attrition is higher compared to others can be found out using data analytics. For example, in a certain organization, the level of attrition in the sales department may be very high. With the help of data analytics, the reason for such an increase in attrition can be figured.
Onboarding Procedure
The process of onboarding is a tedious task for the human resource department. This includes processing all the documents that are being requested by the employees. This process is slow and has the chance of having errors in them. With the help of artificial intelligence, the process can be made easier. The data uploaded will be automatically processed by the AI algorithm without any errors.
