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Easily parse DOC, DOCX , PDF, HTML , TXT , & RTF Formats.
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Takes max 10 seconds to parse and store any resume in database for reporting.
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Can process multiple resumes in a folder & store in database.
 
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eConn Resume Parser – Streamlining Your Hiring Process

 
Written by Administrator
Wednesday, 09 July 2008 21:41
 
Over the past decade corporate world has witnessed paradigm shifts in recruitment technologies and services. Not only has the influx of resumes or job applications increased, but also amount of money, time, and effort spent on managing these resumes have risen. Capturing resume data and storing it in a way that can be seamlessly analyzed are overwhelming tasks, as companies receive more and more resumes every day. Manual and paper based approaches are fast becoming obsolete, and recruiters following them acknowledge that such approaches are inefficient, costly and unsustainable.
 
These problems impact employers, staffing firms and job boards, who often end up spending large amounts of money to attract candidates, sometimes in tune of $150- $350 per head. In a quest to fill positions with right candidates, HR staff has to go through a myriad of resumes and analyze voluminous candidate data. For instance, recruiting 25 good consultants ensues review of more than 5000 resumes, analysis on the basis of skill set, location, and age group, and conducting interview of more than 150 people with average time spent is 45-90 minutes per head. Who has 45-90 minutes to spend on each candidate? Ultimately, the cost and time per each hire increases. The battle is worse for SME segment, where profit margins are tight and the challenge of optimum use of resources during recruitment cycle is another priority.
 
Taking up the challenge, Connoisseur Infotech Pvt. Ltd. (eConn), India launched its industry-leading solution called 'eConn resume parser', first of its kind meant for Small and Medium Enterprises (SMEs) to help them streamline their recruiting process, and at the same time trim their recruiting expenses by reducing the clerical costs of job application processing. With a capability to parse 20,000 or 200, 0000 or many more generic resumes in less than a day, the system commits to analyze them with 80% accuracy. It stores all vital information - Name, Address, City, Zip, EmailID, Phone, and text format of resume into database; so that the recruiters are able to effortlessly filter out the right candidates on the basis of parameters like location, zip code, technological skills, and approximate experience. One of eConn clients has aptly quoted, "eConn Resume parser has streamlined our entire recruitment process - matching the right candidate to the right jobs more quickly than we could ever before."
 
Last Updated ( Monday, 21 July 2008 10:55 )
 
 
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