Crucial, fundamental to every business set-up, and highly tiresome to complete- this is how I would define data entry, when done manually. Manual data entry so far, has been an integral part of the recruitment process, regardless of the flaws that come with it.
It’s slow, and inaccurate, which is evident considering how boring the job can be. Let’s not forget the expenses companies must bear of losing a perfect candidate because of an employee’s lack of attention.
This scenario matches for hiring managers who haven’t yet automated their backend systems. If you are among those many, who still swear by the efficiency of the manual process, this piece can change your perspective.
How? We’ve underlined a few but important flaws that come with the manual process and how RChilli’s resume parser in Oracle HCM can help you.
Errors can't always be avoided, especially when someone is tasked with sifting through numerous uninspiring or high-stress job applications. The process of reviewing these resumes is prone to mistakes when manually sorting candidates based on their skills and qualifications.
Such errors may involve entering incorrect information or overlooking key skills, experiences, or qualifications that match the job requirements.
Just imagine having to review all those CVs again due to a lack of data on shortlisted candidates. This not only consumes valuable time but can also be quite embarrassing.
The resume parser in the Oracle HCM saves you from slip-ups. All the recruiters have to do is upload single or bulk resumes, and it populates the fields automatically. To be precise, 140 fields including experience, skills, education qualification, and more. You can say that the manual entry is reduced by up to 89%.
How long can you realistically dedicate to continuously reviewing resumes? Probably no more than an hour. It's safe to say that manual data entry is not only tedious but also a time-consuming endeavor.
This becomes even more apparent when you must manage numerous resumes spread across various email inboxes.
Not only is the task of selecting resumes from different email IDs cumbersome, but it's also easy to avoid repeating the process repeatedly.
Additionally, the quality of the hiring process may suffer when you find yourself having to reevaluate resumes repeatedly to shortlist candidates for the same position.
RChilli Chrome extension, is a powerful tool designed to streamline the resume upload process for recruiters using Oracle Cloud Recruiting.
The innovative extension helps the recruiters to effortlessly select and upload single or multiple resumes directly from their browser, eliminating the need for manual file searches and uploads.
The extension seamlessly integrates with Oracle Cloud Recruiting, ensuring a smooth transfer of resume data.
Once uploaded, the RChilli system automatically processes the resumes, extracting vital information and saving the recruiter's valuable time. Recruiters have the flexibility to review and edit the extracted data before synchronizing it with Oracle Cloud Recruiting, ensuring accuracy and reliability.
Manual data entry is tedious not just for the employees but also for the candidates. How? Well, the current competitive scenario is witnessing a consistent growth in the demand for skilled candidates.
Spending time filling in the details that are already mentioned in their resumes often make them leave without applying. This also gives the impression that your company as a brand doesn't value their time. Talk about brand building!
Automating the job application process will help enhance positive candidate experience and increase the job application rate by up to 85%.
RChilli’s intelligent solutions help the candidates apply for the job with one-click apply feature. Once after they upload the resume, the parser automatically fetches the information and auto-populate the fields.
They won’t have to spend time and energy filling the details mentioned in their CVs.
Along with the solutions above, RChilli’s multi-lingual resume parser in Oracle HCM is also designed to parse resumes in different languages. This means that you can hire employees from different countries with a one-time configuration setup of the parser. There are nearly 25+ languages that the parser can process the resumes in, like
Summing it up, if you’re fine with splurging on the salaries of the data entry team or else like the increasing number of your employees, your idea of hiring more people is fine. I’ve not even counted the expense involved in re-hiring if the current employee under-performs.
Deploying the automation software to assist you in the effective data entry process means you will help your employees save a lot of their time and enhance the work productivity, and yet the results would be much enhanced. The human resources team, in fact, will get time to focus on value-centric work. Bottom line, the data entry results become more accurate.
Would you rather waste both time and money in the manual data entry process or automate your backend for better results? See how the resume parser in Oracle HCM makes the difference.