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3 Ways in which HR Data Analytics Optimises the Recruitment Process

In the modern business environment, businesses look for ways to lower costs and increase efficiency. One of the ways of achieving business objectives is by streamlining the recruitment process. Implementing HR data analytics in the recruitment process can help achieve efficiency and eliminate ineffective strategies.  

The following are 3 ways that HR data analytics can help optimise the recruitment process: 

1. Improve Budget Allocation to the Recruitment Channels 

Using multiple channels can help businesses attract more talent during the recruitment process. This, however, could translate to higher costs of operation. HR data analytics enables ease when sorting through different recruitment channels to select the most effective option(s). HR data metrics show the number and qualifications of potential employees obtained through each channel. Using the obtained data insights, the most qualified and relevant candidates can be selected at minimal costs to the business.  

2. Eliminate Bottlenecks in the Hiring Process 

Using HR data analytics, the communication between the hiring personnel and the employment candidates is easily tracked. Tracking communication through email or other forms of messaging helps identify the areas that cause delays in the hiring process. Hiring managers approval could be one of the reasons behind a lengthy hiring process. The use of HR data analytics ​can highlight ​delays and where they occur in the hiring process.  

Improving the speed of the hiring process will give the candidates confidence in the business as being a reliable and fair employer. The efficiency and effectiveness of the recruitment process helps in attracting highly qualified talent over the long-term.  

3. Increased Job Satisfaction among Employees 

Employees in their first year of employment can provide insightful feedback on whether or not they are satisfied with their overall job experience. Interactions and support received in the first year of employment can help employees receive the motivation necessary to continue in the business. The evaluation of HR data metrics about job satisfaction allow managers to gauge the progress and expectations of the employees. After analysis of job satisfaction metrics, this information should be used to fine-tune the recruitment process where needed. 

Using HR data analytics helps lower the costs and increase the effectiveness of the recruitment processes in organisations.​ 

Sources: 
Bika, N. 2019. Data-Driven Recruiting 101: How to Improve Your Hiring Process. Workable. Retrieved from https://resources.workable.com/tutorial/data-driven-recruiting-101#targetText=Data%2Ddriven%20recruiting%20is%20when,costs%20and%20improve%20their%20hiring.  
Vulpen, E. 2019. 19 Recruiting Metrics You Should Know About. Retrieved from https://www.analyticsinhr.com/blog/recruiting-metrics/  
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