Tag Archives: information retrieval

Talent Mining – Unearthing Value in Human Capital Data

JIT Talent IdentificationThere are people in the HR/recruiting industry who believe that searching databases, the Internet, and social networking sites to source talent is relatively easy and that it can be automated through the use of technology.

While those people are actually right (to an extent), I am happy to say that unfortunately for them, it’s not that simple.

While anyone can manually write or automate basic searches and find some people, those searches only return a small percentage of the available talent that can be found and they also exclude qualified people. Moreover, there are actually many different levels of searching human capital data in the form of resumes, social media profiles, etc., most of which cannot be replicated or automated by software solutions available today.

In this post, I’m going to share my original slide deck from my SourceCon presentation on the 5 levels of talent mining that I delivered in DC at the Spy Museum (what an awesome venue for a sourcing conference!) and then I’ll dive deep into each distinct level, including examples. Continue reading

Boolean Strings, Semantic and Natural Language Search – Oh My!

An entertaining blog post by Matt Charney was recently brought to my attention in which he tells the world to shut up and stop talking about Boolean strings – he argues that Boolean search is a dying art and that “investing time or energy into becoming a master at Boolean is a lot like learning the fine art of calligraphy or opening a Delorean dealership.”

You can read the snippet regarding Boolean Strings below – click the image to be taken to the entire post, in which Matt addresses mobile recruiting and employer branding.

Matt Charney Boolean Strings

I enjoyed Matt’s post and his approach, but I did not find his arguments to be thoroughly sound – although I suspect he wasn’t trying to make them so (after all, his blog is titled “Snark Attack”).

I’m going to take the opportunity to address the points Matt raised – not because I am trying to stay “relevant,” as some might suggest (my blog is a not-for-profit personal passion and I don’t consult/train for a fee), and also not because I have a vested interest in “keeping Boolean search alive” (because I really don’t) – rather, because I am still amazed that a fundamental lack of understanding of search and information retrieval – both “manual” Boolean search and “automated” taxonomy driven and/or AI-powered semantic search – and I am constantly trying to help people not only understand both, but also appreciate their intrinsic limitations, as well as separate reality from hype.

So, without further ado: Continue reading

Using Extended Boolean to Achieve Semantic Search in Sourcing

When it comes to sourcing and recruiting, semantic search is perhaps the most powerful way to quickly find people who have experience you’re looking for.

Now, I am not talking about black box semantic search (e.g., Google, Monster’s 6Sense, etc.).

I’m referring to user-defined semantic search, where you tell a search engine exactly what you want with your query, and the search engine doesn’t try to “understand” your search terms or “figure out” what you mean through taxonomiesRDFa, keyword to concept mapping, graph patterns, entity extraction, fuzzy logic, etc.

If you’re not very familiar with semantic search (for sourcing – not search engines), I strongly suggest you read my comprehensive article from January 2012 on the subject: The Guide to Semantic Search for Sourcing and Recruiting. Continue reading

LinkedIn Sourcing Ninja Webinar Recording now on YouTube

 

In case you missed my record-setting LinkedIn sourcing webinar on 6/4 (3,000+ attendees!), the fine folks at LinkedIn recorded the whole session and have graciously uploaded the presentation to YouTube, where you can find the Become a Sourcing Ninja: Earn your Boolean Black Belt with Glen Cathey video.

 

 

Be sure to change the quality to 720 for the best viewing experience.

Content covered includes:

  • Boolean search operators and query modifiers supported by LinkedIn
  • Beyond Boolean – asking better questions
  • Human-Computer Information Retrieval (HCIR)
  • Hidden Talent Pools
  • Diversity sourcing (gender demonstrated)
  • Agile Sourcing Methodology
  • Probabilisitic and Exhaustive Sourcing
  • Sourcing Capability Maturity Model
  • LinkedIn Signal
  • How to automatically find people who have just joined LinkedIn

 

Happy hunting!

 

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.

 

 

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

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!

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.

Why So Many People Stink at Searching

The trouble with search today is that people put too much trust in search engines – online, resume, social, or otherwise.

I can certainly understand and appreciate why people and companies would want to try and create search engines and solutions that “do the work for you,” but unfortunately the “work” being referenced here is thinking.

I read an article by Clive Thompson in Wired magazine the other day titled, “Why Johnny Can’t Search,” and the author opens up with the common assumption that young people tend to be tech-savvy.

Interestingly, although Generation Z is also known as the “Internet Generation” and is comprised of “digital natives,” they apparently aren’t very good at online search.

The article cites a few studies, including one in which a group of college students were asked to use Google to look up the answers to a handful of questions. The researchers found that the students tended to rely on the top results.

Then the researchers changed the order of the results for some of the students in the experiment.  More often than not, they still went with the (falsely) top-ranked pages.

The professor who ran the experiment concluded that “students aren’t assessing information sources on their own merit—they’re putting too much trust in the machine.”

I believe that the vast majority of people put too much trust in the machine – whether it be Google, LinkedIn, Monster, or their ATS.

Trusting top search results certainly isn’t limited to Gen Z – I believe it is a much more widespread issue, which is only exacerbated by “intelligent” search engines and applications using semantic search and NLP that lull searchers into the false sense of security that the search engine “knows” what they’re looking for. Continue reading

What is a Boolean Black Belt Anyway?

I’ve been blogging nearly 3 years now, and I realized I’ve never come out and actually defined the term “Boolean Black Belt.”

The concept seems pretty self explanatory, but there has been at least 1 person who’s taken the opportunity to point out (and gain some traffic in the process – but it’s all good!) that it could be perceived as a bit of an oxymoron to be an “expert” in something as simple as 3 Boolean operators.

Interestingly, however, I’ve found that most sourcers and recruiters don’t even fully exploit the various powers of the OR and NOT operators – not even close.

So what is a “Boolean Black Belt” anyway? Continue reading

Are You Fluent in the Language of Information Systems?

If you traveled to a foreign country where you don’t speak the local language, you would find yourself in a situation where there are questions you would want to ask people and things you’ll need to know, and nearly everyone you run into would be able to help you – but because you can’t articulate in a manner that the locals understand, they can’t assist you and provide you with what you need.

Most people would be rightfully frustrated in this kind of scenario – knowing that nearly everyone you run into can help you with the answers or the information you need, but you just can’t express yourself in a way anyone can understand.

Some people respond to this by speaking more slowly or more loudly (or both!) – but of course this does not help one bit.  In fact, it may simply annoy the locals and make them less likely to want to try and help you.

Others might try and get a phrase or translation book to try and communicate.  Have you ever had to try and communicate with someone who does this?  It’s painful, but it’s a step better than gesticulating wildly and speaking in a different language slowly and loudly.

If you were fluent in the local language – none of this would be an issue. You’d be able to communicate quickly and effectively with nearly anyone you come into contact with and get the answers you seek or the information you need.

Working with computerized systems is no different.

Every day, most people interface with information systems of some kind – computers (tablets, laptops, smart phones, etc.), the Internet (search engines, web sites/apps, social media), and databases.

Yet most people don’t speak the “native language” of computerized systems. If you don’t speak the local language, why would you assume that the locals automatically “know” what you’re looking for and that you should be able to get you precisely the information you need?

So – what’s the “local language” of computerized systems?

Boolean.

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

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

Why Do So Many ATS Vendors Offer Poor Search Capability?

JIT Talent IdentificationThis question has been burning in my mind for quite some time – why is it that so many ATS/recruiting CRM vendors offer poor or limited candidate search functionality? I’m not talking about ATS vendors you’ve never heard of – I’m talking about some of the biggest names in Applicant Tracking/Candidate Relationship Management applications.

I’m well aware that ATS’s serve many critical functions beyond searching for the candidates contained within them, but let’s pull no punches here – you can’t hire someone, or begin to automate candidate relationship management with someone you haven’t FOUND in the first place. And just because a candidate is buried somewhere in your database, it doesn’t mean you’ve actually found them (or can find them when you want or need to).

The bottom line is that data is of little to no value if you can’t retrieve the information you want, when you need it. What is the point of storing human capital data if you can’t precisely retrieve exactly what you want, when you want it? Continue reading