The Growing Role of Data Analytics in Recruiting

Data-driven organizations use data analytics to make well-informed decisions. Here is how data analytics is playing a big role in recruiting.

Human resource plays a critical role in the success of any business. That is why finding and hiring the right people for the team is crucial. However, talent sourcing, onboarding, retention, and management are by far one of the most challenging roles for recruiters and HR personnel. For this reason, businesses are always looking for tools and techniques to improve the process and raise the odds of success. This is where data analytics in recruitment comes into play. Data-driven organizations use data analytics to make well-informed decisions. The same technology can be used in recruiting to minimize common challenges and improve the entire recruitment process. That being said, here is how data analytics is playing a big role in recruiting.

Enhancing candidates sourcing

The quality of the people companies hire depends on the outsourcing process. If the platforms or the process used only attract poor-quality candidates, then it is highly likely that recruiters end up with poor-quality hires. Otherwise, they keep going back to the drawing board, which wastes time and increases the cost of hiring. Data analytics helps businesses improve the candidate sourcing process in several ways. They include:

• Candidates benchmarking – Recruiters can analyze top performers’ data including qualifications and soft skills to determine key performance indicators for the role qualifications and expectations. This can guide them in writing job postings that attract the right people

• Determining the best platforms to search for candidates – After placing the job ad on various job boards, recruiters can analyze the quality and quantity of job applicants from the said platforms. This helps narrow down to platforms that add value, which helps prevent the wastage of resources

The overall goal of any recruitment process is to find the right for the company. The right fit will fit in well with the existing team, and the company culture and is likely to be highly engaged with the position and the company. Recruiters can use data analytics to analyze data from resumes such as candidates’ skills, companies, industries, job titles, experiences, and certifications. Data analytics can also use data from personal interactions to read non-verbal cues, or communication data such as if a candidate replied to an email and after how long to gain insights into the personality of an applicant. This data is then compared to the set KPIs for qualification to rank candidates. The process reveals the candidates that show the highest probability to succeed in the role.

However, it is important to avoid data silos and adopt a central and interactive system to ensure complete data sets. This improves the accuracy and predictive power to give better insights. In addition, finding the right people for the job is crucial. Looking into platforms where specific data jobs are posted raises the chances of finding quality data analysts.

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