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The latest news, trends and information to help you with your recruiting efforts.

Posted January 11, 2018 by

Recruiting Can’t Be Strategic Until It Shifts to a Marketing Approach: Here’s How [white paper]

 

The following are excerpts from “Recruiting Can’t Be Strategic Until It Shifts to a Marketing Approach: Here’s How”, written by talent strategy guru Dr. John Sullivan. Distributed to College Recruiter readers with permission from Dr. Sullivan. 

To download the full white paper, click here (no registration needed). (more…)

Posted November 29, 2017 by

Recruitment analytics: How you can use data to adjust your hiring process

 

For so long, recruiters have trusted our guts to make hiring decisions (myself included). However, it is hard to ignore the value that big data, and recruitment analytics, bring to talent acquisition. I checked in with Kevin Grossman, President of The Talent Board, the nonprofit that oversees the Candidate Experience Awards each year. He gives his insight below into how recruiting professionals can and should respond to data in their hiring process.

Grossman will deliver the closing keynote address at the College Recruiting Bootcamp on December 15, 2017. His presentation will address how to scale hiring by including non-traditional students and grads in the hiring process. Following his presentation, Grossman will moderate a panel to continue the conversation. Attendees will include leaders in HR, talent acquisition and university relations. To join us and hear what strategies and tactics you might not have considered yet to attract and retain entry-level talent, register for the bootcamp here. (more…)

Posted October 17, 2016 by

The hidden problem with big data

1547174HR has long measured recruitment success. Now, in the age of “big data”, we are generating so much more to measure. One benefit of analyzing big data is that with more information we’ll have better decision-making and reduce the stubborn subjectivity that comes with using human brains.

Right?

We should be cautious to assume that human bias will disappear just because we have more analytical tools at hand. In fact, big data can expose our bias and force you to walk the walk. Once you track all those numbers, some unconscious bias and unintended discrimination may emerge and will now be in plain sight. Ultimately, this accountability is a great step forward in recruitment. You’ll just want to make sure your company is ready to respond. Here are three examples of where it’s wise to examine your data practices.

Scraping personal data from online sources. It wouldn’t be too hard to discover a candidate’s race or sexual orientation, given how much personal trace we all leave on the Internet. We’d love to assume those factors make no difference, but too many studies have shown otherwise. Some minority job applicants have even resorted to “whitening” their resumes. A study published this year showed that minority applicants were more successful if they deleted information from their resume that hinted at their race, for example, if they attended a Historically Black College or were a member of Hispanic professional association.

Key word searching. Keyword searching can be a great way to sort out quality candidates among the thousands of real or potential applicants. However, employers must “apply the same rigor that they would use when creating job advertisements. For example, avoid any terms that could be considered directly or indirectly discriminatory (e.g., ‘‘recent graduate,’’ ‘‘highly experienced.’).”

Hiring tests. Many companies give candidates a test at the interview stage to help them make decisions based on qualitative data. It sounds great, and can be, if it’s administered fairly. If you use these tests, you must use them for all applicants. And you must—gasp!—actually pay attention to the data. For example, it wouldn’t be fair to only give the test to minority candidates (this happened), or ignore White candidates’ bad test results (this happened too).

Using big data can be used to make good hires. Just don’t forget to be honest with yourself. If you analyze a big pool of data to select qualified candidates, and they all end up being of one race and one gender, this is a sign you may have accidentally inserted your own bias. Go back to the steps in your process. Ask yourself, “Are my words or actions appealing to only certain demographics?” (This recruiting tech company uses their own big data to help you look at wording in your job postings, for example.) As one of America’s most popular economists, Stephen Dubner of Freakonomics fame, puts it:

We believe that if you get a pile of data representing a million decisions, that that’s better than asking three people what decisions they made. While I very much believe that to be true, and I very much applaud all the instincts for all of us to work with data in aggregate to distill the biggest truths, I also know that we’re humans and that …we’re biased in a lot of ways.

 

Posted September 29, 2016 by

Do you use vanity metrics to measure recruitment?

 

Do you know the difference between “vanity metrics” and “business metrics?” Many people assume they do, but oftentimes they don’t.

Vanity metrics are aspects of a business we track because the numbers are larger or more impressive, and it sounds better to present them to our bosses and other stakeholders.

Examples of vanity metrics  (more…)

Posted September 02, 2016 by

Analytics, data changing way employers recruit, hire college graduates

 

Workforce analytics are transforming human capital strategy, said Mark Schmit, Ph.D., SHRM-SCP, executive director of the SHRM Foundation. That’s why it’s more important than ever for employers to understand how analytics and data will drive recruiting and hiring decisions. Schmit’s comments were part of the Society of Human Resource Management’s release of the Use of Workforce Analytics for Competitive Advantage Report in June of 2016. (more…)

Posted November 18, 2015 by

Big data facing big shortage of skilled workers

Have you heard the phrase do the math? That’s what North American employers are looking for; people to do the math in the field of big data. A shortage of skilled workers in the field presents job opportunities in mathematics, one of the STEM fields. (more…)

Posted July 30, 2014 by

Recruiters, Could Big Data Represent a Whole New World for Recruiting?

As recruiters constantly search for the best candidates available to fill job openings, the process of recruiting may become easier thanks to big data.  Learn more in the following post.

Can you imagine a world where you don’t have to sift through piles of resumes? Where a small list of qualified candidates lands on your desk, waiting for you to make the final hiring decision? With the growth of big data, this isn’t some futuristic fantasy — it may soon become your reality. A recent Mashable article calls big data

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Posted December 27, 2013 by

Jeanette Maister’s #truCollegeRecruiter Discussion Track: Data Driven Hiring Decisions

The #truCollegeRecruiter NYC conference was hosted on Monday, December 9, 2013 at the Times Square, New York headquarters of EY (formerly Ernst & Young) and organized by CollegeRecruiter.com niche job board and #tru recruiting event planners.

The conference brought together about 100 hiring managers, recruiters, and other human resource professionals who wanted to share best practices and learn from each other about how to more efficiently and effectively hire and manage college and university students and recent graduates. (more…)

Posted November 05, 2013 by

Job Boards Are “Critical to the Recruiting Mix” and Becoming More Important

Faith Rothberg, CEO of CollegeRecruiter.com

Faith Rothberg, CEO of CollegeRecruiter.com

It might drive our employees nuts sometimes, but they’re probably all pretty used to CEO Faith Rothberg and me trying to use data whenever possible to drive our decision making processes. So it likely won’t come as much of a surprise to you that we’re both quite intrigued by the increasing awareness and use of Big Data.

Wikipedia defines Big Data as “a collection of data sets so large and complex hat it becomes difficult to process using on-hand database management tools or traditional data processing applications.” Think databases with millions of pieces of data and, quite likely, messy data in that a lot of data is missing. Cheap, powerful computers are making the analysis of Big Data economically feasible. (more…)

Posted September 18, 2013 by

STEM Jobs Promise to Be Hottest Career Fields for Today’s College Freshmen

John Challenger of Challenger, Gray & Christmas

John Challenger of Challenger, Gray & Christmas

As the nation’s roughly 2 million college freshmen take the first steps on their career paths, the employment experts at global outplacement consultancy Challenger, Gray & Christmas, Inc., offered some advice on which areas could offer the most fertile employment landscape over the next decade.

“Many freshmen have no idea what career path they want to pursue, relying on a mix of courses in the first year to help point them in the right direction.  There is absolutely nothing wrong with that, but it is a good idea to at least be armed with information about where job growth is expected to remain strong in order to make the best decisions about one’s course selections going forward,” said John A. Challenger, chief executive officer of Challenger, Gray & Christmas, Inc. (more…)