HR teams have an exhaustive database of active and passive candidates. But do they know how to analyze human resources data correctly? The thing is that making use of personal data is not the most ethically correct choice. This is the reason why HR professionals aren't used to getting information from these sources. Nevertheless, it can considerably enhance the productivity of the company, increase profit and save costs. 

Why is the human resource most important? These days, people live quite an active social media life. It is extremely easy to learn basic facts about the person, gather the appropriate information, and thus understand what position is the best for the candidate. Let's see why the use of human resources big data isn't an offensive act and why you can trust companies who make use of HR data. 

How is big data used in human resources?

It is important to understand how the companies use the data. When the employees hear that their data is to be gathered, they are somewhat afraid. But HR carefully protects the data by using a virtual private network. Professional HR specialists usually download VPN to protect the information of the candidates. Since VPN features include a secured connection, there's no need to be afraid about the data's safety. By using VPN apps, the NDA information about the company and the candidate's information is always out of danger.

These days, hiring a person for the position has become quite expensive for companies. To find the relevant candidate, the U.S. has to spend $4,000 on average, as estimated by the Glassdoor eBook in 2016. This is a huge deal. And we should also take into account the expenses spent on the training sessions and other additional courses to make the candidate match the company's requirements. For this reason, the companies developed a more effective way to ensure a successful recruitment process. Big data recruiting is a new reality for HR specialists. 

Monitoring basic KPIs such as absenteeism isn't enough to win the game. These days, companies have to resort to more profound analytics and big data use for cost-effective enlistment. 

What benefits does big data recruiting have? 

Using big data recruiting companies can decrease the turnover rate, find relevant candidates for the opening, and satisfy the working staff's needs. What are other benefits of the use of more in-depth data?

• The quality of the recruitment process is highly increased. If HR hires the wrong person, the whole company can bear losses. By using big data to investigate the information about the person, such mistakes can occur on rare occasions. Now looking for an ideal candidate isn't a big deal anymore. Recruiters can benefit from social media profiles, Internet resources, and other online materials available on the Web to find the best from the best for the position. 
• What about training? We have said before that this is another huge part of the company's budget. If the HR team fails with the candidate, the expenses on the training aren't justified. The company loses its money because of the wrongly chosen candidate. This is why in-depth analytical research and a well-developed strategy can help in the recruitment process. 
• With well-organized big data recruiting, HR's can satisfy the needs of their staff. When dealing with the workers, it is necessary to pay attention to the current team. How can managers know about their preferences if not by using big data analysis? The tendency is present in Google. They carefully research the data, analyze the material and draw conclusions to help their workers feel comfortable in the working space. 
• The staff can work more effectively if the HR team monitors their data. What challenge does big data bring to HR? To be accurate, working with big data is quite tiresome. This is an exciting task, yet it takes so many hours of meticulous research. 

These are some of the most important benefits of big data use in recruitment. Thus, if you are still afraid about data collection online, you should have no worries. HR managers use VPN apps to ensure complete security of the data to enhance their recruitment and officers' lives. 

What to expect from big data implementation in the HR world? 

Big data use has entered the recruitment market. But what are the trends it's going to present to the HR managers?

• The analytics will be more predictive. With more predictive analytics, the managers will assess the candidates, identify their talents, and know more about their drawbacks. It can also help understand if the training or other processes in a team are carried out effectively. 
• Why did companies hesitate to implement big data use in their work? The systems and programs were complicated and far from being affordable. But today, they are relatively easy to reach and use.
• With the correct and effective analytics, the company can assess the financial value of every employee. It can contribute to the efficacy of work and enhance the productivity of workers.
• Data analyst is on the rise. In one of the articles, CNBC claimed that data analysts proved to be a demanding job. With an exhaustive analytical skillset, the workers can research the data, work with the figures and perform the ideas to improve the company's efficacy. Doesn't it sound great?
  
  

Final Thoughts

The work of HR managers is a complex of actions they do daily to ensure correct enlistment. But protecting the candidates with VPN and tracking their absence aren't the most effective ways in the recruitment process. VPN features and basic KPIs should be complemented with big data use to make the work more beneficial and even cost-effective. 

Author's Bio- Rachel Burnham is an expert in VeePN. She has been working with the application for a long time to help other users protect their accounts. She has gained impressive experience and a good reputation in the VPN. If you are interested in the VPN and all its features, you can download the app. Using a trial period is the best option for beginners. But whether it is a free version or a paid one, you can still benefit from the features Rachel worked in her job.