Recruitment Analytics and Its Importance for Recruitment Planning

 

What is Recruitment Analytic?

Recruitment analytics (RA) is a subset of talent analytics that tracks, measures, collects, and analyzes applicant and employee data. Today's recruiters often use analytics to provide actionable insights that help them source and choose the most suitable candidates. In fact, 78

percent of major firms consider
people analytics essential and critical. Comprehensive RA combines data and predictive analysis to help firms recruit efficiently. Predictive analytics, which is the use of previous data to create predictions about the probability of future events, is also being used by many businesses in the recruiting process. With predictive analytics, companies and the recruiters who staff them may make informed recruiting choices about the future that are supported by data.                                                                                                                                                                                                       Figure 1:Recruitment Analytics, Source: (Anand , 2021)  

                                                                                                                                                                                                     

Recruitment Analytics Best Practices                                                                                                        

                                                            Figure 1:Recruitment Analytics Best Practices; Source: (Heather, 2020)


Importance of Recruitment Analytics for Recruitment Planning

The use of recruiting analytics to create data-driven hiring choices is now commonplace in almost all forward-thinking companies (Earle, 2020). What is it about recruitment data that has the overwhelming majority of people so excited? The advantages are self-explanatory. Recruitment analytics may considerably importance for recruitment planning due to the following factors.                                        

  •  It increases the efficiency of the recruitment planning process

RA may improve organizations' hiring processes. In addition, they may identify recruiting bottlenecks by analyzing application and employee data. This would not only streamline operations but also cut recruiting costs and allow recruiters to try new things (Anand , 2021). Data mining allows recruiters to save costs on low-quality candidate acquisition strategies. Recruiting expenditures will be reduced, making the recruiting process simpler, stronger, and more cost-effective (Shepherd & Growth, 2020).

  •  Enhance the overall quality of hiring

It can find the best candidates, analyze their traits, and repeat the process as many times as needed. This will help match people to open opportunities, improve hiring quality, and reduce turnover (Martin, 2019).

  • Able to keep track of employees’ progress and performance

Recruiting analytics may help firms monitor their recruitment KPIs (KPIs). They may enhance the recruitment team's effectiveness by receiving knowledge into their performance. Companies may track their progress to compare with industry standards (Bernard , 2018).

  • Increasing the diversity of the workforce

Many businesses struggle with diversity recruitment, but with the correct data, they can monitor their progress and make adjustments as needed to improve diversity (Heather, 2020)

  • Making future predictions

Recruiters must anticipate talent and skill shortfalls. Predictive analytics is extremely beneficial for forecasting future recruitment budgets, time to hire, cost per employee, and other crucial factors (Santos, 2020).

  Conclusion

Hiring in the twenty-first century requires recruitment analytics. In the end, it may assist establish a robust workforce. Knowing what metrics to measure and why is critical to deciphering the data and acting on it to make significant changes. Making exceptional employees under difficult, dynamic, and unpredictable situations will help firms to constantly enhance the recruiting process (Earle, 2020).

References

Anand , I., 2021. Why HR Should Pay Attention To The Emergence Of People Analytics And AI.[Online]Available at: https://www.forbes.com/sites/forbeshumanresourcescouncil/2021/11/09/why-hr-should-pay-attention-to-the-emergence-of-people-analytics-and-ai/?sh=8f38a9510189
[Accessed 10 November 2021].

Bernard , M., 2018. Data-Driven HR: How Big Data And Analytics Are Transforming Recruitment. [Online]
Available at: https://www.forbes.com/sites/bernardmarr/2018/05/04/data-driven-hr-how-big-data-and-analytics-are-transforming-recruitment/?sh=465347352d1f
[Accessed 10 November 2021].

Earle, D., 2020. RECRUITING ANALYTICS: 5 WAYS TO BENCHMARK SUCCESS, s.l.: Edvise Partners.

Heather, H., 2020. 7 Best Practices for Using Recruitment Analytics. [Online]
Available at: https://harver.com/blog/recruitment-analytics/
[Accessed 10 November 2021].

Martin, S., 2019. Big Data, Better Hiring: 10 Ways HR Can Use Analytics To Find The Perfect Employee. [Online]
Available at: https://www.forbes.com/sites/forbeshumanresourcescouncil/2019/01/18/big-data-better-hiring-10-ways-hr-can-use-analytics-to-find-the-perfect-employee/?sh=e73604e712b8
[Accessed 10 November 2021].

Santos, M., 2020. Recruitment Analytics: The 9 Recruiting Metrics You Should Be Watching. [Online]
Available at: https://textexpander.com/blog/recruitment-analytics-the-9-recruiting-metrics-you-should-be-watching
[Accessed 10 November 2021].

Shepherd, D. & Growth, T., 2020. Eight Ways To Use Data To Inform Agency Recruitment And Hiring. [Online]
Available at: https://www.forbes.com/sites/forbesagencycouncil/2020/11/18/eight-ways-to-use-data-to-inform-agency-recruitment-and-hiring/?sh=da38a962ffa0
[Accessed 10 November 2021].

                                                                                       

                                                                         


 

 

 

 

 

 

 

 

 

 


Comments

  1. Good article . Its a modern day crisis as most of the coconversational HR managers has problems of identifing the correct talant and people with right attitude for the job.. good eye opener..

    ReplyDelete
    Replies
    1. Your are right. mostly affects on more man power using industries.

      Delete
  2. Yes as you have mentioned in here this exercise will be useful when we have unexpected situations and as HRM team can be strongly face the situation. Good thinking and useful initiative. thank you!

    ReplyDelete
  3. Recruitment analytics is a part of talent analytics that involves tracking, measuring, collating and analyzing candidate, and employee data to make better hiring decisions.

    ReplyDelete
  4. Statistical and analytical skill sets of human resources personnel's should be sharp enough to work with this systems. And access to quality data can be an issue for some organisations who don't have up to date systems. Good article.

    ReplyDelete
  5. Most challenging and key point of every organization. Proper analytic and proper recruitment will lead to the success of the organization. A really good article.

    ReplyDelete
  6. very interesting and useful article thanks for shearing

    ReplyDelete
  7. Recruitment analytics is important to analyze data related to the recruitment process of the organization. It is supportive to make effective decisions related to the recruitment process of the organization.

    ReplyDelete
  8. You have mentioned importance of Recruitment Analytics for Recruitment Planning very well. Good Luck

    ReplyDelete
  9. Recruitment analytics is increasingly being realized by organizations that right candidates hired at the right time in the right position with right cost directly contributes to the success of organization. It is most important things to HRM. Article clearly define Recruitment Analytics Best Practices and Importance of Recruitment Analytics for Recruitment Planning. Thanks for sharing.

    ReplyDelete

Post a Comment

Popular posts from this blog

Significance of Managerial Communication on Employee Engagement

Intrinsic Reward Management for Employee Motivation in Apparel Industry

How do work after hours impact on Employee productivity?