ATS or applicants tracking system is making waves all over the world. Most of the companies use this application to get most of the recruitment process. ATS is also known as Resume Robot or the software which provides hiring tools for organisations. Whenever any organisation uploads jobs on their portal, all the applicant’s resume aren’t going to recruiter or hiring agency/manager. There is a process involved and this resume robot with the help of Resume parser enables electronic handling of recruitment needs!
Every recruiter team puts their best efforts to get the most competitive hiring. Not to mention, this is a little complicated at the human level and resume parsing system helps them achieve it. Resume parsing extracts all the applicant’s data and helps to streamline the process. Like, scanning all the resumes manually is not possible and doesn’t add any value in the longer term, applicant tracking system (ATS) with resume parsing scans, identifies phrases or set skills for the successful positions.
The hiring process is complicated. A talented employee is like a backbone of every organisation and that’s why a recruitment process cannot be taken lightly at any level. Any lapse in the process might land you with the incapable employee which is ultimately additional cost to the company. The very first step is getting the resumes which give an overview of a prospective candidate before you approve him/her for the second level of screening.
One cannot keep a track of all the applications, it’s not at all possible for any team. However, the Applicant tracking system is the only solution by which they track things and then work on. To avoid these scattered resumes which they get from all sources, ATS with parse resume helps to break the ice. They make things practical and how easily it converts each resume into a standard format or digital format which can be used by anyone across.
Resume Parsing, CV Parsing, Resume Extraction or CV Extraction you call by any name, its all same. The software converts the CV/resume document into structured information or XML format. These digital formats are suitable for storage, reporting and to check the entire process. Resume parser helps to speed up screening time, making the entire recruitment process more efficient. Extracting the most relevant information like keywords, work experiences, education, certifications which further allows recruiters to filter resumes directly from the ATS. For applicants, it’s not easy to stuff your resume with heavy keywords to dodge the ATS. Here, ATS with the help of resume parse quickly detects hyped resumes or the fake resumes. It has the capacity to filter the best talent out of many! People might find it easy to break the ATS and getting into the next level, but the resume parse restricts it, allowing only the genuine candidates.
Basically, there are three types of Resume parsing:
Keyword based: This helps to parse based on phrases, patters and set keywords. This is basically a keyword-based resume parser which only works with phrases and simple patterns mentioned in the resume. And converting or decoding them in an algorithm to make it simpler to the reader. The accuracy doesn’t go above 70% and considered as one of the least accurate resume parse software.
Grammar based:
Decoding the meaning of sentences on a resume. Another type is grammar-based resume parse which typically revolves around set keyword and can decode various words and grammars used in a particular context. There is quite a possibility to get 90% and above accuracy rates. But the flip side is that it does require a lot of manual encoding, better writing, and testing before making it live.
Statistical:
Parse resume from structure to numerical mode. Any resume which more statistical information has can be decoded by this resume parser. But it must manually mark up with all the basic information that needs to be extracted in the entire process.
Depending on the company’s requirement resume parser works accordingly. It can be formatted to avoid any confusion or double work.
Resume parsing software in a turning point for the human resource team but the other benefits cannot be ignored from the applicant’s view. Most of the online job applications are mobile friendly which also parse resumes. This is helping applicants to upload resume without much homework or any specific data entry. There is quite a possibility that resume information can be directly parsed from your LinkedIn profile. Otherwise, keeping track of all the resumes which are mostly in thousands is not possible.
Wrapping Up
Any organisation whether a start-up or large, the role of resume parsing cannot be compensated with human resource. Technology and innovation are helping companies to work efficiently and saving cost. Any employee if not screened well before boarding then he/she might leave the organisation within a year and to compensate that work, the cost gets double. Considering the pool of talent which is available in the market and how the innovation is changing trend the role of Resume parse cannot be left behind.
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