Data mining refers to analyzing huge amounts of information and data to create a new piece of information. Data mining can be a fundamental procedure in the Human Resources department to overcome quickly developing challenges.

For example, AI and process automation can help process big data to compute information that is hard to measure using manual methods or by human employees. Pulling insights from the massive volume of data generated by human resources is challenging, an innovative solution for this is data mining.

Managing Data in Human Resources

Here are some of the challenges of managing data in human resources.

Recruiting Employees

Recruiting employees is one of the hardest tasks for the human resource team in any business or industry. Traditionally, HR uses promotional campaigns to recruit talent for new job openings and employment opportunities.

The next step is initiated when the applicant showed interest and presented paperwork to start the recruitment process. This manual process takes a long time to get the new talent on board.  It also takes time to measure the effectiveness of the promotional campaign and determine what did or did not work.

The birth of the Internet revolutionized the recruitment process.  Organizations now incorporate recruitment in their websites, emails and social media posts and accumulate a large volume data which they use to gauge the effectiveness of their recruitment campaigns.

Click here to watch our video series on the automation enhances the talent acquisition process.

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Duplication

Maintaining a database of candidates comes with incidents of duplication. Resolving this issue sometimes leads to the accidental deletion of relevant data. Additionally, identifying duplication, and failing to purge them can also lead to the creation of a huge backlog of corrections. Leaving it for too long could lead to a big mess making the system prone to human error.

Human resource professionals need a solution that not only identifies the duplications but can eliminate them without compromising relevant employee data. Data mining and integrating automation into your human resource infrastructure supports this goal.

What is Data Mining?

Data mining is an irreplaceable process that your company can use to turn raw information into useful data. You can use automation software to search for patterns within large batches of company data. This will enable you to learn more about your employees as well as customers to develop far more effective recruiting and employment strategies.

Data mining requires the effective collection of data, documenting, recording, and applying computational processing. Three common areas for filtering HR data to reap the benefits of data mining for any industry are:

  • Demographic data
  • Salary and bonus data
  • Employees’ occasion-based data, including joining date, leaving date, etc.

Like any strong methodology, data mining initiates with a concern that needs addressing. For human resources, three considerable concerns include:

  • Employee Retention – understanding which of the employees are not happy and at risk of leaving the company
  • Performance – identifying elements and conditions that lead to better than expected performance and execution of tasks by the employees.
  • Recruitment – coordination of jobs, potential talents, and onboarding employees

Benefits of Data Mining

There are six areas where data mining can help HR processes.

1.     Data Integration

The right data mining software can connect and align your core human resource process. Efficient data collection allows you to connect data with the other departments of your company and share it transparently with the right people.

This will give everyone a clear understanding of what each piece of data and information means for the company. This, in turn, will enable relevant teams to make informed and strategic recruitment decisions.

2.     Strategic Hiring

Data mining can help your recruitment team to headhunt the right talent in the market. You can automate the tasks such as posting job descriptions and tracking applicants. This will also enable easy management of applications received and offer jobs to the right candidates.

With the categorization of data for each employee, you will be able to streamline the hiring process and focus on each candidate.

Watch this video that dives deeper into the use of automation to enhance the talent acquisition process.

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3.     Improved Onboarding of New Employees

An efficient and organized approach to recruiting and onboarding the right employees is achievable with data mining and HR automation. You can create employee profiles that hold vital information during recruitment, hiring, and the onboarding process.

Automating your new hire paperwork will save you and the new employee time. You can use this free time to focus on face-to-face recruiting matters instead.

4.     Retaining Top Talent

When you have a good team of employees, you must do all it takes to keep them. With your employees’ information available on a single platform in an organized manner, you will be able to track their performance and growth. This will allow you to check reviews, set goals, gauge, and train.  Guiding your team as they improve their skill sets and pursue their career aspirations.

5.     Employee Development

Good integration of data mining must also include options for your employee development, learning, and training. You can identify areas of improvement and assign courses and  skill development trainings as per for each employee.

The data mining software will even collect data about the skill training, outcome, and effectiveness. That further empowers the HR team to customize their strategy for better results.

6.     Improving Employee Experience

Employee turnover is one of the biggest costs businesses have to bear. Data insight and analysis allow you to create a pleasant employee experience. Integrating employee accessible systems can improve employees’ experience allowing them access to their time-off requests, sick leave management, payroll and benefits.

Conclusion

Investing in an integrated data mining and automation system will not only help your human resource department but the benefits will be felt throughout the organization. A central hub with employee information will help your managers maintain progress reviews and performance and provide a high-level view of their departments and help them plan the growth of their team.

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