HR Analytics (Human Resources Analysis)
In business HR is the set of people who make up the workforce of
an organization. Similar terms include manpower, labor force or personnel.
The Human Resources department of an organization performs human resource
management, overseeing various aspects of employment, such as compliance with
labor law and employment standards, interviewing and selection, administration
of employee benefits, organizing of employee files with the required documents for
future reference, and some aspects of recruitment, and staff wellbeing. In
conclusion, they serve as the link between an organization's management and its
employees.
The duties include planning, recruitment and selection process, posting job ads,
evaluating the performance of employees, organizing resumes and job
applications, scheduling interviews and assisting in the process and
ensuring backgrounds checks. In addition to all the previous activities, another job
is payroll and benefits administration which deals with ensuring vacation and sick
time are accounted for, reviewing payroll, and participating in benefits tasks, like
claim resolutions, reconciling benefits statements, and approving invoices for
payment. Human Resources also coordinates employee relations activities and
programs including employee counseling. The last job is regular maintenance, this
job makes sure that the current HR files and databases are up to date,
maintaining employee benefits and employment status and performing
payroll/benefits.
Human resources analysis," also commonly called "HR analytics," refers to the
process of collecting, analyzing, and interpreting data related to an organization's
workforce to inform data-driven decisions about HR strategies, improve workforce
performance, and ultimately enhance overall business outcomes; essentially using
data to gain insights into employee performance, engagement, and retention to
make better HR decisions.
Key points about human resources analysis:
➢ Data collection:
Gathering information about employees, including performance metrics,
demographics, engagement levels, absenteeism, turnover rates, and
training data.
➢ Data analysis:
Using statistical methods to identify patterns, trends, and correlations within the
employee data.
➢ Decision making:
