Tag Archives: Human Capital Data

My Future of Sourcing Keynote at Talent42

Talent42 audience viewI recently attended and thoroughly enjoyed the Talent42 conference in SeattleJohn Vlastelica and Carmen Hudson have done a fantastic job, and I was also honored to be asked to present the closing keynote on the current and future state of sourcing.

Aside from the stacked speaker lineup, valuable content, sourcing roundtables led by a good portion of who’s who in the sourcing community, and power + wireless for all (other conference organizers please take note!), what I especially enjoyed about Talent42 is the fact that it is the only technical recruiting-only conference.  My entire career has been focused primarily on the technical recruiting, so it was nice to spend a couple of days in the company of people who share a similar recruiting background and appreciate the unique challenges associated with sourcing and recruiting IT professionals.

As my keynote presentation had a lot of animations, off-slide commentary and embedded videos, I took the time to modify the slide deck so that it could be largely understood that without the benefit of hearing me speak to the content (I wish more presenters would do the same!!!), and I have uploaded it to Slideshare, complete with informative, funny, and controversial YouTube videos.

In this presentation I address what I feel is the current state of talent sourcing as well as what I believe the future of talent sourcing will be, sooner than later.  Additionally, I demonstrate Facebook’s Graph Search and offer insight into functionality from several “Big Data” talent sourcing tools, including Dice Open Web, TalentBin, Entelo, and Gild.

Why Facebook Graph Search is No Threat to LinkedIn…For Now

 

Facebook's Graph Search options of special interest to sourcers and recruiters: Employer, Position, Employer Location, Time Period, School, Class Year, ConcentrationAs with all new and bright shiny objects, people are quick and eager to make blind and wild predictions, and Facebook’s Graph Search is an excellent example.

Facebook announced Graph Search on January 15th, and there are already 100’s of articles published on the possibilities, including how Graph Search will challenge Google in advertising, Match.com & eHarmony in online dating, Yelp and others in services, travel and entertainment, and yes, even LinkedIn and Monster in recruiting.

When Mark Zuckerberg himself says “One of my favorite [Graph Search] queries is recruiting. Let’s say we’re trying to find engineers at Google who are friends of engineers at Facebook,” it’s hard to not get excited about the possibilities of tapping into the data Facebook has on over 1,000,000,000 users globally, and over 167,000,000 users in the U.S. alone.

Don’t worry – this isn’t another Facebook-Graph-Search-is-an-awesome-disruptor article.

Rather than throwing fuel on the Graph Search fire, I am happy to throw a wet blanket instead.

Don’t get me wrong – I’m excited to use Graph Search, and I know sourcers and recruiters will be able to make use of it. However, there are some major limitations to Facebook and Graph Search specifically that I want to recognize and bring to light that will clearly explain why it isn’t a threat to LinkedIn. Continue reading

The Moneyball Recruiting Opportunity: Analytics & Big Data

 

Earlier this year, I traveled to Australia to present a keynote at the Australasian Talent Conference on the topic of the Moneyball opportunity that exists for companies when they are sourcing, identifying, assessing, recruiting, and developing talent, and how big data and predictive analytics will be the next major area of competitive advantage in the war for talent.

Below you will find my keynote presentation, including a couple of YouTube videos.

Big Data and predictive analytics are just beginning to be leveraged in talent acquisition by a few forward thinking companies, and I am convinced they will both play major roles in the near future.

Unfortunately, at this time there is still some confusion around exactly what “Big Data” is and is not. For example, this Wall Street Journal article incorrectly references the use of personality assessments and other online tests to facilitate hiring as an application of Big Data, when in fact it is really just an example of analytics.

Data from personality assessments and online tests coupled with other human capital data doesn’t represent a combination of high-volume, high-velocity, and/or high-variety information assets, which most experts agree is required for something to be classified as “Big Data.”

In this presentation, I think you will find the examples of how companies are currently leveraging analytics in their recruitment as well as in the analysis of their current workforce to be quite interesting, as well as some of the tools that already exist that do in fact harness high volume, high velocity, and high variety information assets.

You may be shocked to find that data supports the finding that taller and more attractive men and women make more money than their shorter and less attractive peers (especially shocked to find out exactly how much more!) – which gives us a glimpse into how people make hiring and promotion decisions on a daily basis based on unconscious prejudice, similar to how unconscious prejudice, wisdom, and “gut” instincts are and have been used in athletic recruiting – which Billy Beane and Paul Depodesta of the Oakland A’s specifically set out to counter.

As demonstrated in Moneyball, very strong teams can be built with data-based decision making, throwing conventional wisdom to the wind.

Enjoy the presentation, and please do let me know your thoughts. Thanks!

 

 

If you like what you’ve seen in the Slideshare, you may want to read this post I wrote on Big Data, Data Science, and Moneyball recruiting last year.

 

My SourceCon Presentation – LinkedIn: Beyond the Basics

 

I was honored to be asked to present at the Dallas 2012 SourceCon event – which turned out to be the largest SourceCon event ever!

When I was talking with Amybeth Hale back at the end of 2011 about what I’d like to present on, I asked if anyone had ever run a session solely dedicated to LinkedIn.

Now, I’ve been to every SourceCon save 2 (the first one and 2011/Santa Clara), I’ve spoken at 5 of them, and I couldn’t recall anyone delivering a LinkedIn presentation, and neither could Amybeth (for the ones I missed or sessions I did not attend).

That struck me as beyond odd, given how valuable a resource LinkedIn is for sourcing and recruiting.

What you see below is the deck from my “LinkedIn: Beyond the Basics” session, complete with YouTube videos.

 

 

Why Boolean Search is Such a Big Deal in Recruiting

In the past, I’ve explained the Boolean Black Belt concept and exposed what I feel is the real “secret” behind learning how to master the art and science of leveraging information systems for talent identification and acquisition.

Now I would like to show you precisely WHY Boolean search is such a big deal in recruiting.

There are 2 main factors:

  1. Candidate variable control
  2. Speed of qualified candidate identification.

The goal of this article is to shed significant light on the science behind talent mining, how it can lead to higher productivity levels (more and better results with less effort), why I am so passionate sourcing, and why everyone in the HR, recruiting, and staffing industry should be as well.

Control is Power

Talent identification is arguably the most critical step in recruiting life cycle – you can’t engage, recruit, acquire, hire and develop someone you haven’t found and identified in the first place.

My experience has shown me that properly leveraging deep sources of talent/candidate data (ATS/CRM’s, resume databases, LinkedIn, etc.) can enable recruiters to more quickly identify a high volume of well matched and qualified candidates than any other method of candidate identification and acquisition (e.g., cold calling, referral recruiting, job posting).

The true power of Boolean search lies in the intrinsically high degree of control over critical candidate variables that using Boolean strings to search deep data sources such as resume databases, the Internet, and social media affords sourcers and recruiters.

Applying that that high degree of control to large populations of candidates – tens of thousands (small internal ATS, niche resume database) to tens of millions (large ATS/CRM, Monster resume database, LinkedIn, etc.) enables adept sourcers to perform feats of talent identification and acquisition most would think impossible.

Continue reading

The Current and Future State of Talent Sourcing

I had the distinct honor and privilege of serving as the conference chair of the biggest-ever SourceCon, held at the Georgia Aquarium in February. Part of my responsibility in that role involved kicking off the event, and I took the opportunity to touch upon my observations and opinions on the current state of sourcing, as well as what I believe will be the future of sourcing.

Even as I was standing on stage I knew I would be writing a post on this topic, because it was apparent that there is much misunderstanding and debate surrounding sourcing, and certainly no shortage of opinion, qualified or otherwise.

If you’re ready, I’ll walk you though my definition of sourcing, my observations on the current state of sourcing, and what I (and others!) see as the future state of sourcing.

WARNING: If you don’t like/have time to read long posts, I suggest you turn back now. While I could have split this content up into 9 weeks worth of 500 word posts, I’d prefer to give you the goods rather than string you along.

What is Sourcing?

First and foremost, I believe it is critical to have a common understanding of what sourcing is.

I define sourcing to include any and all activities whose primary purpose is talent discovery and identification.

My definition is purposefully broad, because I find too many people seem to associate sourcing solely with searching the Internet with Boolean search strings.

While some companies may limit their sourcers to exactly that – searching only the Internet and generating names for someone else to engage – sourcing is and should be much more than that.

Sourcing encompasses the use of any source of human capital data – an ATS, Monster, LinkedIn, Twitter, Facebook, mobile apps, etc., and it can also include the phone, email, and messaging work of engaging potential candidates and networking with them to yield referrals and the opportunity to identify more potential candidates.

Yes, networking with people – whether they be new hires, existing staff and management, or complete strangers – to find and identify potential candidates is also sourcing, regardless of method (electronically, over the phone, or in person).

Of course, sourcing also includes traditional phone sourcing as effectively addressed and dramatically demonstrated at the SourceCon event by Conni LaDouceur.

And finally, although passive and offering little-to-no control over the qualifications and experience of the talent discovered, job posting is even a form of sourcing – the primary purpose of posting a job is to discover talent.

The Critical Importance of Sourcing

When it comes to the entire talent management lifecycle, nothing is more important than sourcing.

That’s because, quite simply, the entire talent management lifecycle is completely dependent upon discovering and identifying potential talent in the first place.

You cannot engage, build a relationship with, recruit, hire, retain and develop someone you haven’t found.

Period.

Try cutting and polishing a poor quality diamond, or better yet – try cutting a diamond you don’t actually have. You could have the best diamond cutters in the world on your staff, but without a steady supply of high quality rough diamonds, you simply won’t be in business.

When it comes to hiring and retaining, all future outcomes are dependent upon that magical moment when a sourcer/recruiter first finds and makes contact with a potential candidate.

The Current State of Sourcing

I believe that sourcing is largely misunderstood, undervalued, and under-invested in today.

I offer as evidence:

  • An alarming number of people seem to believe that sourcing is all about Boolean logic
  • There are people who believe that sourcing is a function that can be easily replaced by software
  • There are well respected companies who don’t give their sourcers or recruiters any premium or purpose-built tools or resources
  • The recently conducted sourcing compensation survey illustrated that 23% of the respondents make less than $40,000 annually Continue reading

Top 15 Common Talent Sourcing Mistakes

Practically everything I have learned about sourcing and recruiting didn’t come from a mentor or any formal training.

Instead, I learned how to become a top performing recruiter “the hard way.”

What that really means is that when it came to finding top talent, I tried a lot of things that didn’t work, and because I refuse to make excuses, give up, or accept anything less than the best results, I kept experimenting until I discovered things that enabled me to find people that others can’t and don’t.

With over fifteen years of experience in sourcing and recruiting, I’ve made my fair share of mistakes along the way. I’ve also had the opportunity to assess, train and coach corporate and agency sourcers and recruiters, which has exposed me to many myths, misconceptions and mistakes when it comes to leveraging information systems for sourcing and recruiting.

Here are what I believe to be some of the most common productivity-robbing and results-reducing mistakes sourcers and recruiters make when looking for the right match.

In no particular order… Continue reading

Is Your ATS a Black Hole or a Diamond Mine?

Most companies and staffing organizations, ranging from executive search sole proprietorships to staffing agencies to Fortune 500 companies, have internal databases filled with rich and actionable information on thousands to literally tens of millions of applicants, candidates, and professionals.

You would think that a private internal database of people that an organization has actively and passively, tactically and strategically collected over the years would be a prized posession and be viewed and leveraged as a significant resource and competitive advantage.

However, this post on Weddles details that an Online Sourcing Survey conducted by TalentDrive found that almost two-thirds (64%) of the employers represented by the survey’s participants did not know how many qualified candidates were in their own ATS databases.

Yes – you read that correctly.

Most companies don’t even know how many people are in their Applicant Tracking Systems.

Surprised?

While that is an especially disturbing statistic and a sad reality, I’m actually not that surprised.

Most Applicant Tracking Systems have horrible search interfaces and extremely limited information retrieval capability.

As such, like a black hole, prospective candidates go in, but they don’t come back out.

If you can’t easily search your internal database, how can you determine the total candidate population, let alone find the top talent hidden within?

Deposits and Withdrawals

Having an ATS/CRM/candidate database that is not highly searchable is like putting your money into an insolvent financial institution. You can deposit money/assets in – but you can’t easily or reliably make withdrawals.

The bottom line is that data has no value if you can’t retrieve it.

Anything designed to store something should have strong retrieval capability – once you put it in, you should expect to be able to get it back out.

Quickly and easily, no less.

If you can easily enter prospective candidates into your ATS but you cannot easily retrieve the right ones at the right time – you’re essentially sitting on a giant Hidden Talent Pool.

Illiquid Human Capital

Everyone agrees that people are an organization’s most valuable asset.

However, if you cannot quickly, easily, and precisely search for and retrieve highly qualified candidates from your private database, your ATS is essentially a source of illiquid (human) assets.

In other words, you cannot easily convert the human capital data stored in your system into hires/placements.

The Time Value of Resumes

Even after 15 years in recruiting, I am still shocked to hear HR pros, sourcers, recruiters, and talent acquisition leaders comment about how resumes get “stale” and lose their value after 6 months.

While the information on resumes certainly goes out of date over time, the resumes themselves do no lose their value.

In fact, I argue that resumes get more valuable over time.

This is because the active candidates you capture today become the passive and non job seekers in time – yes, those magical people that are supposedly so valuable and so difficult to find.

Right in your database.

With phone numbers and email addresses.

That person that responded to your job posting a year ago will not likely be actively looking today, will not have their resume posted online anywhere, and will not have updated their LinkedIn profile for quite some time – yet, you have their contact information, and it doesn’t take a rocket doctor to figure out what kind of opportunity they would be interested in.

Although you don’t know exactly what a person whose resume is a year or more old is doing now, most people follow a relatively predictable career trajectory.

I’ve personally dredged up resumes from an ATS that were over 4 years old and got them hired.

When I called one of these candidates, he asked me, “How did you know I was looking?” I replied, “I didn’t – your resume is 4 years old – I don’t even know if you’re doing the same kind of work.”

He was.

It also turned out he was beginning to think about making a change, but hadn’t even written his resume.

I had caught him at the perfect time, before anyone else could even imagine of finding him. The funny thing is that most people probably wouldn’t have even called him simply because his resume was “stale” and out of date.

This and many more similar examples I have prove the time value of resumes.

However, you can’t leverage the time value of resumes if you can’t quickly, easily, and precisely retrieve them!

Coal Into Diamonds

For each position sourced for and posted online, there are inevitably volumes of potential candidates that do not fit, as well as candidates that do not get interviewed and hired.

However, this does not mean that they are bad or unqualified people.

In fact, many of the people who respond to job postings are very good candidates – they’re just not very good at matching themselves.

Those under qualified candidates? While they may not meet the basic qualifications of the specific job the responded to, that doesn’t mean that they aren’t fully qualified for other jobs that are open now, or jobs that will open in the future.

In a year or two, they will have a year or two more experience and be a qualified candidate.  See the Time Value of Resumes above.

What about those over qualified candidates? While they may be “over qualified” for the position they applied to – they may in fact be qualified for other openings now and in the future.

What about those applicants that are a complete mismatch for the positions they applied to? They often match other currently open and future jobs.

How about the people who almost got the job? For every opening, there can only be one hire, so there is often a slew of strong runners-up that could be fantastic candidates for other opportunities.

Over the years, I’ve consistently found time and again that what appears to be coal can quickly turn into diamonds.

The Black Hole

Just like light heading into a black hole, applicants and candidates often go into applicant tracking systems – but they don’t come back out.

Presumably, there are 3 main ways a person can end up in a company’s ATS:

  1. They responded to a job posting
  2. Someone ran a search and found the candidate’s profile/resume on the Internet, on a resume database such as Monster, Dice, Careerbuilder, etc., or on LinkedIn and entered it into the database
  3. The person was a referral and entered into the system

In all three cases, someone – either a potential candidate or a sourcer/recruiter – has shown interest in a potential match at some point in time, and this should be worth something.

People applying to jobs should be able to expect a response of some kind, and recruiters should be able to easily find well qualified candidates they found and entered into the system in the past.

Looking to Build a Talent Community?

Everyone seems to want to build a “talent community” these days.

What I find funny is that many companies are already sitting on the makings of a talent community in their own ATS.

Anyone in your ATS got there either because they wanted to join your company (they responded to a job posting) or because you wanted them to join your company (you sourced them).

Can you think of a better population for a talent community?

If your ATS doesn’t have CRM functionality that enables you to stay in touch with the people who’ve expressed interest in your company and the people you’d like to potentially employ, it’s time for you to start thinking about what you can do about this, because you’re sitting on a diamond mine.

Sourcer/Recruiter Behavior

Can we blame sourcers and recruiters for NOT searching and leveraging their ATS/CRM if other sources they may have access to (such as LinkedIn and job board resume databases) are 10X more searchable?

If trying to find appropriately qualified candidates in an ATS is as difficult and painful as pulling teeth, we should not be surprised when sourcers and recruiters search the Internet for candidates first, and the ATS last (if at all!).

A company’s private candidate database should, if anything, be MORE searchable and EASIER to use than publicly available systems and databases.

As mentioned previously – people in your ATS have either shown specific interest in your company or were found elsewhere by a sourcer or recruiter and entered into the system.

Both types of people should receive “priority handling!”

Demand an ROI on Your ATS!

Many companies spend tens of thousands to hundreds of thousands of dollars on their Applicant Tracking/CRM systems, and they should expect demand a significant return on that money invested.

I say that the value of a database lies not in the information contained within, but in the ability of a user to extract out precisely and completely what the user needs.

If you can’t easily, quickly, and precisely retrieve talent out of your ATS – you didn’t get what you actually paid for.

If you’ve been a corporate recruiter at some point in your career – did you ever have a 3rd party search firm/agency submit candidates to you that you already had in your ATS?

Did you know that some companies will pay a fee or a premium (contract to hire) for candidates that 3rd party firms source and recruit that were in fact hiding in the company’s ATS?

Without going into why companies would actually pay another firm for candidates they had buried in their ATS – the $64,000 question is why didn’t the corporate sourcers/recruiters find the candidate themselves?

The answer is usually quite simple – because the company’s ATS isn’t very searchable.

Perhaps it would be more accurate to call it the “20-30% of the first year’s salary” question.

Ouch!

What You Can Do

To ensure that your private candidate database/ATS isn’t just one big fat black hole where candidates enter but they never come back out, here are a few things you can do:

Replace or upgrade your ATS/CRM

Yes, this will likely involve spending money.

However, if people really are the greatest and most valuable asset of your organization – investing in a system that allows you to effectively capitalize on this asset is well worth the cost, nearly at any price!

From a corporate perspective, moving to a system that makes it easy to find appropriately qualified candidates that you have already sourced or expressed interest in your company can significantly reduce your cost-per-hire as well as your reliance on 3rd party search firms.

From a search firm/agency perspective, investing in replacing or upgrading your candidate database/tracking system can help increase your productivity (and likely profitability) by enabling you to more quickly and effectively capitalize on candidates you have already sourced, interviewed and qualified rather than having to try and source “new” candidates from scratch for each job order/client request you receive.

Integrate a New Search Interface/Engine Into Your ATS

Typically less expensive than switching out your whole ATS/CRM – there are several 3rd party search applications available ranging from highly configurable text search (Lucene, dtSearch, etc.) to conceptual/artificial intelligence search/match applications (Autonomy, BurningGlass, Sovren, Pure Discovery, Actonomy, etc.) that you can integrate into your existing ATS/CRM to significantly boost its “searchability.”

Some of the aforementioned solutions are free (Lucene) and others are surprisingly affordable.

Train Your Sourcers and Recruiters (AND/OR Yourself)!

Sometimes an ATS/CRM is a black hole from which candidates never return simply because the sourcers and recruiters aren’t very proficient in how to effectively search information systems for talent identification (aka Talent Mining).

If you already have a highly searchable ATS or CRM, invest in training your associates with the latest search best practices, tactics, and strategies.

You don’t need a super-expensive “state of the art” search application to quickly find the right people.

In fact – all you need is a search interface that supports full Boolean logic.

In my first year as an agency recruiter, I averaged 8 hires per month only after 3 months of experience as a recruiter – and my sole source of candidates was an old CPAS ATS developed by VCG. No Monster, no Google, no Linkedin, no cold calls – just a plain old resume database with about 80,000 records and a search interface that supported full Boolean logic.

How’s that for ROI?

The Bottom Line

If your ATS/CRM is as easy to search as it is to put candidates in, you will be able to fill more of your company’s openings from talent you’ve already sourced and from people who have expressed an interest in joining your company.

Any opening you can fill with candidates already in your internal system saves you the time, effort, and cost of advertising and searching for “new” candidates.

Filling openings with candidates already in your ATS can afford you significant and measurable cost-per-hire and time-to-fill savings.

Additionally, having a highly searchable ATS/CRM can help you reduce your reliance on paid resources if you currently use them (such as Monster, a premium LinkedIn account, etc.).

Is it easier to search public systems such as LinkedIn or Monster to find appropriately qualified candidates than it is to search your private ATS/CRM?

It shouldn’t be!

What is Your Talent Sourcing ROI?

Anything worth doing is worth measuring, and sourcing isn’t exempt from this.

If you want to know which method of sourcing has the highest ROI in terms of enabling a person to find more of the right people more quickly, then you’re in luck – because that’s what this post is about.

Human capital data comes in many forms – resumes, social network profiles, blogs, bios, press resleases, etc. – and I have found that a key and critical aspect of sources of human capital data that many people fail to formally recognize is the depth and completeness of the data that can yield information through review and analysis.

When it comes to leveraging information systems such as the Internet, applicant tracking systems, social networking sites, job board databases, etc. for sourcing and recruiting – the operative word is “information.”

Data is the lowest level of abstraction from which information can be derived. For data to become information, it must be interpreted and take on a meaning.

Generally, the quality and amount of information that can be gleaned from any particular source is directly linked and limited to the quality and amount of data present to be reviewed and analyzed. How useful is an information system supported by only a small amount of limited data?

In this post, I will:

  • Review the major sources of human capital data
  • Examine sourcing return on time invested
  • Explore the potential candidate’s point of view
  • Ask you to take a quick sourcing test

Ready? Continue reading

The Guide to Semantic Search for Sourcing and Recruiting

If you have nearly any tenure in HR, sourcing or recruiting, you’ve probably heard something about “semantic search” and perhaps you would like to learn more.

Well – you’ve found the right article.

As a follow-up to my recent Slideshare on AI sourcing and matching, I am going to provide an overview of semantic search, the claims that semantic search vendors often make, explain how semantic search applications actually work, and expose some practical limitations of semantic search  recruiting solutions.

Additionally, I will classify the 5 basic levels of semantic search and give you examples of how you can conduct Level 3 Semantic Search (Grammatical/Natural) with Monster, Bing, and any search engine that allows for fixed or configurable proximity.

But first – let’s define “semantic search.” Continue reading

Talent Sourcing: Man vs. AI/Black Box Semantic Search

Back in March 2010, I had the distinct honor of delivering the keynote presentation at SourceCon on the topic of resume search and match solutions claiming to use artificial intelligence in comparison with people using their natural intelligence for talent discovery and identification.

Now that nearly 2 years has passed, and given that in that time I’ve had even more hands-on experience with a number of the top AI/semantic search applications available (I won’t be naming names, sorry), I decided it was time to revisit the topic which I am very passionate about.

If you’ve ever been curious about semantic search applications that “do the work for you” when it comes to finding potential candidates, you’re in the right place, because I’ve updated the slide deck and published it to Slideshare. Here’s what you’ll find in the 86 slide presentation:

  • A deep dive into the deceptively simple challenge of sourcing talent via human capital data (resumes, social network profiles, etc.)
  • How resume and LinkedIn profile sourcing and matching solutions claiming to use artificial intelligence, semantic search, and NLP actually work and achieve their claims
  • The pros, cons, and limitations of automated/black box matching solutions
  • An insightful (and funny!) video of Dr. Michio Kaku and his thoughts on the limitations of artificial intelligence
  • Examples of what sourcers and recruiters can do that even the most advanced automated search and match algorithms can’t do
  • The concept of Human Capital Data Information Retrieval and Analysis (HCDIR & A)
  • Boolean and extended Boolean
  • Semantic search
  • Dynamic inference
  • Dark Matter resumes and social network profiles
  • What I believe to be the ideal resume search and matching solution
Enjoy, and let me know your thoughts.

Big Data, Data Science and Moneyball Recruiting

With each passing day, an increasing amount of data is being generated and transmitted by and about more people than ever before.

At Google’s 2010 Atmosphere convention, Google CEO Eric Schmidt stated that “There were 5 Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.”

In case you were wondering, an Exabyte is 1,000,000,000 gigabytes, or 10,000,000 terabytes. That’s a lot of information.

Interestingly, Google’s CEO may have actually underestimated the amount of data being generated at the time. From their research, RJMetrics believes that a more accurate figure would be approximately 6.6 exabytes every 2 days. One thing is for sure – the number is even bigger today.

What does any of this have to do with recruting? Why should HR, recruiting and sourcing professionals, as well as corporate executives care about big data?

Well, because a chunk of big data is human capital data, and as I have been ranting about for the better part of 3 years, human capital data can be leveraged to identify and hire more great people more quickly.

If you’re a dinosaur recruiter or sourcer, I don’t recommend you read the rest of this post, because:

  1. I will challenge they way you think and work, and that might make you uncomfortable
  2. You’ll probably think it’s a load of garbage
  3. It might make you aware of your pending extinction (the precise timing of which is debatable)

I have to warn you that this is not a short, quick-hit post – this may be the longest single post I have ever written, which explains why you didn’t see a post from me last week. I wrote this piece to introduce a human capital paradigm shift, to challenge the long-standing conventional wisdom in HR and recruiting, and to (hopefully!) provoke progressive thought from my peers. If that’s not your thing, turn back now.

If you want a glimpse into the future of talent identification and acquisition, you’re always interested in figuring out how your company can gain a competitive advantage, and you’re wondering what the heck my “Moneyball recruiting” reference could possibly be about, then read on.  Continue reading

All Recruiting Sources Are NOT Created Equal

While there is much written on the subject of how to search the various talent sources available to recruiters and sourcers today, such as the Internet, LinkedIn, Facebook, Twitter, Google+, ATS/CRM systems, etc., there does not seem to be much written about their ROI as sources of talent/human capital information.

I believe that the value of any source of information is 50% based upon the actual information contained within (data depth), and 50% in the ability to extract out precisely and completely what the user needs (searchability). Information has no value if you are unable to easily access, effectively search for and find what you need and take action on it.

When it comes to leveraging information systems for talent identification and acquisition, it is critical to assess the depth of the talent/human capital data offered by the source as well as how “searchable” the source is.

Why is Data Depth and Searchability Important?

Quite simply, the deeper the data offered by and the more searchable the the source is, the higher the ROI for your sourcing efforts.

All electronic sources of talent are NOT created equal, and some offer sourcers and recruiters instrinsic advantages with regard to the ability to more quickly and precisely find more of the right people, yielding higher productivity.

I’ve created a graphic representation of a comparison of the data depth and searchability of the most common information systems used by sourcers and recruiters to find candidates. Continue reading

The #1 Mistake in Corporate Recruiting

While no company has a flawless recruiting system, process or solution, there is a glaring problem shared by many corporate recruiting functions from which the Fortune 500 and the Big 4 are not immune.

As some of the most respected companies in the world invest quite a bit of time, energy and money into social recruiting efforts, interactive recruiting solutionsLinkedIn, Facebook, Twitter, and career site optimization, one critical piece of the recruiting puzzle seems to be all but completely overlooked.

Before you read any further – do you believe you have an idea of what I might be talking about?

From the conversations I’ve had over the years with many corporate recruiters and recruiting leaders from small companies all the way to the Fortune 500 and the Big 4, as well as the contract recruiters who are hired to help these companies source and recruit talent, I believe that the #1 mistake in corporate recruiting is the failure to fully realize and take appropriate action on the value of the human capital data they already possess. Continue reading

Does LinkedIn Offer Recruiters Any Competitive Advantage?

When I spoke at the LinkedIn Talent Connect event last year, I dropped a big question on the 500+ audience:

“What’s your informational and competitive advantage when you all have access to the same people?”

Think about it.

If you have a LinkedIn Recruiter account (over 55% of the Fortune 100 do!), you have access to view any and all LinkedIn profiles.

So do your competitors that are hunting to identify and recruit the same talent.

Regardless of your LinkedIn account type (Free, Business, Business Plus, Executive, Pro, Talent Basic, Talent Finder, Talent Pro, or Recruiter), you still have access to viewing any and all public profiles, although you just might have to jump through some flaming hoops with a small network and a free account. :-)

So now I will ask you – if the majority of sourcers, recruiters and human resources professionals in the world use LinkedIn for sourcing and talent acquisition (there’s nearly a million!), what’s your competitive advantage over your rivals? Continue reading

Sourcing is Not an Entry Level Function or Role

I recently listened to an interview with DeeDee Doke of Recruiter.co.uk in which she related to Amybeth Hale that the perception in the U.K. is that sourcing is an entry level career in the recruiting industry.

Apparently, using information systems for talent discovery and identification is perceived by many as a junior role and skill across the pond.

I’m saddened by this, and what makes it worse is that this sentiment isn’t limited to the U.K. – there are plenty of people in the U.S. as well as the rest of the world who feel the same way.

This perception most likely comes primarily from the fact that many people don’t really yet understand, appreciate or know how to fully leverage the latent power of human capital data.

Yes, there is deep latent power hiding in data of all forms – all you need to do is take a look at business intelligence solutions and how much money companies spend on them (millions) to get a basic appreciation of the power of data.

Unfortunately, it doesn’t seem that many companies value human capital data in the same manner that they value their sales, product and customer data.  Continue reading

Talent Mining and the Future of Sourcing and Recruiting

Many people equate sourcing candidates with simply creating and running Boolean search strings.

In my opinion and experience, Boolean search neither adequately describes nor gives proper credit to what sourcers and recruiters are really doing when they leverage the Internet, resume databases, ATS/CRM applications and social networking sites such as LinkedIn to find candidates, and to what some very talented and highly skilled professionals are able to accomplish with human capital data.

I had the distinct honor of delivering the keynote presentation at SourceCon 2010 which was held at the International Spy Museum in Washington, DC. I spoke about a specialized form of information retrieval and text/data mining which I call talent mining, defined as querying and analyzing human capital data for talent discovery, identification, and ultimately acquisition.

At the strategic level, talent mining is the process of transforming human capital data into an informational and competitive advantage – much more than simply writing Boolean search strings. Continue reading

Data and Drive are Paramount in Sourcing and Recruiting

Samurai statue2 by mollydot via creative commons searchThe other day I came across an insightful post on Fistful of Talent by Josh Letourneau in which he addresses the arms race that rages on in the talent acquisition universe – the never-ending attempt of people and companies to achieve some sort of technological advantage over the competition.

Josh would rather have a recruiter “with the “will to fight,” in other words – someone with a never-say-die-because-I-will-make-it-happen Recruiter/Sourcer. If I have that, then I can introduce technology and truly accelerate their success. But if it’s a lazy Recruiter who would rather let their Careers Site do the work, then all the technology in the world would prove wasteful in their hands.”

I could not agree more!

A driven, no-excuses sourcer/recruiter will always out-perform a lazy sourcer/recruiter – no matter how bleeding-edge their technology. Continue reading

The Future of Recruiting: The More Things Change…

The Future of Recruiting - image by Silverisdead via creative commonsNow that we are on our way into exploring the new year, I’ve seen some articles on what’s coming next for the recruiting industry this year, and even as far out as 10 years from now.

When I read one such article written by Kevin Wheeler, I was struck by his comment that although sourcing remains a topic he is interested in, he feels that “the need to conduct in-depth Internet searches and apply Boolean logic to searches is no longer relevant in the majority of cases.”

I was prepared to write an article just in response to that thought, but as I sat down to review his post again on Sunday in preparation for my post, I noticed that Kelly Dingee had commented in defense of electronic talent identification.

In response, Kevin wrote “I think that intensive Internet searching, for most internal recruiters, is a sign of their failure to develop a community of potential candidates. If the position is a unique or one-of-a-kind search, they should probably use a third party recruiter. For volume and routine hiring there should be no need to use anything beyond a network of potential candidates whether proprietary or not. Building that community is what a recruiter’s job is all about – not running searches or becoming a computer nerd.”

Wow. Where do I begin? Continue reading

Resumes Are Like Wine

Old Wine Cellar small by acren23 via creative commonsIn response to my recent post about the deficiencies in the search capability of many Applicant Tracking Systems, a few people commented to the fact that resumes stored in applicant tracking systems become stale and outdated over time, which may explain why ATS resume databases are often the candidate “source of last resort.”

While candidate records inevitably age over time and can become outdated, this definitely does not have to be the case.

A candidate record can only truly go “stale” if no one ever makes contact and updates the record with more current information from time to time – and it need not even be every 6 months.

Any recruiter worth their salt will attempt to maintain periodic contact with most candidates and update their information as appropriate, regardless of their job search status. This can also be automated to some extent with strong and effective CRM functionality – so even if the recruiter forgets to follow up with someone every 6 months, the CRM won’t. Continue reading