HR Analytics

 


What is HR Analytics?

    HR analytics is the process of collecting and analyzing Human Resource (HR) data in order to     improve an organization’s workforce performance. The process can also be referred to as talent     analytics, people analytics, or even workforce analytics.

    This method of data analysis takes data that is routinely collected by HR and correlates it to HR and organizational objectives. Doing so provides measured evidence of how HR initiatives are contributing to the organization’s goals and strategies.

Examples in HR Analytics

·       Turnover

·       Recruitment

      Understanding the process of HR Analytics

        HR Analytics is made up of several components that feed into each other.

1.     To gain the problem-solving insights that HR Analytics promises, data must first be collected.

2.     The data then needs to be monitored and measured against other data, such as historical information, norms or averages.

3.     This helps identify trends or patterns. It is at this point that the results can be analyzed at the analytical stage.

4.     The final step is to apply insight to organizational decisions.

       1.  Collecting data

Big data refers to the large quantity of information that is collected and aggregated by HR for the purpose of analyzing and evaluating key HR practices, including recruitment, talent management, training, and performance.

What kind of data is collected?

·       employee profiles

·       performance

·       data on high-performers

·       data on low-performers

·       salary and promotion history

·       demographic data

·       on-boarding

·       training

·       engagement

·       retention

·       turnover

·       absenteeism

           2.   Measurement

·        At the measurement stage, the data begins a process of continuous measurement and comparison, also known as HR metrics.

·        Time to hire

·        Recruitment cost to hire 

·        Turnover 

·        Absenteeism 

·        Engagement rating 

3.  Analysis

o  The analytical stage reviews the results from metric reporting to identify trends and patterns that may have an organizational impact.

4.  Application

    • Once metrics are analyzed, the findings are used as actionable insight for organizational decision-making.
    • Time to hire 
    • Turnover 
    • Absenteeism 

 

Reference

Valamis. (n.d.). What is HR Analytics? | Definition, Examples, Metrics. [online] Available at: https://www.valamis.com/hub/hr-analytics#:~:text=HR%20analytics%20is%20the%20process. 

Comments

  1. Useful fatcs. thank you for posting valuable information

    ReplyDelete
  2. This method is very important for the achieve organization’s goals and strategies.

    ReplyDelete
  3. HR analytics is a handy tool for an organization to understand where its strengths and weaknesses lie.Helpful artical

    ReplyDelete
  4. These facts are very helpful to identify the different capabilities of employees & there by utilize them to get their maximum output.

    ReplyDelete
  5. HR analytics is useful to identify the performance and the capabilities of tthe employees

    ReplyDelete
  6. Having a HRIS is use full for the analysis process since collected data can be arrange and obtained information which help the process of decision making process

    ReplyDelete
  7. How to successfully implement people analytics in an organization ?

    ReplyDelete
  8. measurement stage, the data begins a process of continuous measurement and comparison in HR metrics.

    ReplyDelete
  9. Analyzing is an essential for every processes of organizations and its really important to HR

    ReplyDelete
  10. HR analysis are very important for the future of an institution.

    ReplyDelete

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