Boosting Recruitment with Big Data Analytics
Making sure you recruit the right candidate for the job is the lifeblood and essential for any staffing business. With the growing application, understanding and use of big data analytics, the hiring task is made easier, as well as the application process. Staffing websites and companies benefit from a more effective recruitment strategy by using big data analytics in several ways.
Analysis of historical data
Analyzing patterns and trends in hiring on the basis of historical data can provide access to information pertaining to sources from which good candidates were hired, number of hires made, their progress, as well as skill sets/experience of successful employees. It can even provide details about key features of candidates you weren’t hired in the past or those who failed to meet job demands after being hired so that you can ensure you pick the right candidate for the job.
Screening of possible talent
Advanced technology services including Applicant Tracking Software is routinely used to speed up the screening process and avoid human error and time involved in the manual screening of applicants based on desired criteria. Relevant criteria relating to education, experience, and skills required for the job opening can be chosen, and the software can be made use of in order to filter applicants as per the criteria selected.
Prediction of recruitment gaps
HR data analytics can be used to predict any gaps in recruitment as well as potential openings even before they occur based on success metrics and hiring trends of the past so that vacancies arising from employees leaving may be filled quickly without affecting the revenue generated by the company.
Identification of obstacles in hiring
Not only can you use HR data analytics to analyze historical trends and identify open positions, but you can also make use of it to detect any hurdles in the recruitment process that causes candidates to exit the pipeline. You can even identify at which point in the hiring cycle candidates generally drop out and get a better understanding of why they drop out at these points of the hiring cycle. In this way, hurdles such as a complicated application process or even the onboarding process may be detected so that changes can be made accordingly.
Interpretation of data
With big data analytics, real data from evidence based information becomes available as opposed to conventional HR tracking measures and interpretation of this data offers a more realistic depiction of information sought based on empirical measures. Data backed by statistics and facts can be used to make a more convincing argument in support of the latest hiring procedures or policies employed.
Overall reduction in hiring time
Any recruitment strategy is planned with the objective of utilizing resources to hire the candidate most suited for the job in the shortest amount of time possible. With big data analytics, your understanding of how to use technology in the recruitment process improves. Harnessing Advanced technology services allows Staffing websites to add value and increase ROI several processes of the recruitment cycle can be automated, including sourcing, filtering, screening, and other functions so that you save not only time, but also money in hiring the right candidate.