MIAMI, Florida – April 13, 2016 – Vermis Analytics, a company that helps
organizations turn data into actionable insights, just released Dock153,
a text mining application that accelerates the analysis of thousands of resumes
when a company is doing DIY recruiting. Dock153
allows hiring managers to identify the most qualified candidate(s) in matter of
minutes. Its algorithm will assign a score to candidates based on how
closely his or her skills, knowledge and experience are to the job
description. The hiring manager will be able to view all scores and see the
strength of each candidate along with his or her geographical location without
opening each resume one by one.
“We are thrilled to launch the Dock153 application,”
said Jorge Gonzalez, Vermis Analytics’ Co-Founder. “Most companies
receive hundreds to thousands of resumes when posting a new job opening, this
makes the hiring process very time consuming and costly. Our goal is to
minimize this pain by providing an application that will automatically sort
through every resume and make a recommendation on who is most suitable to the
company based on their job description. This application is the result of
our commitment to help companies maximize the use of their structured and
unstructured data.”
Hiring managers will no longer have to sort through
thousands of resume submissions in their inboxes. They may easily be
missing a highly qualified candidate just because of the hassle it takes to
open each resume and skim through it. In addition to expediting the
screening process, Dock153 highlights the keywords in each resume so that it
will help guide the conversation during the interview.
Dock153 accepts PDF and Word documents, which are both
standard amongst job seekers. It even tells hiring managers if there is
an issue with one of the uploaded resumes in case they want to re-upload or
scan that one themselves.
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