Tag Archives: Talent Mining

Talent Mining – Unearthing Value in Human Capital Data

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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 →

Why Boolean Search is Such a Big Deal in Recruiting

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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 →

How to Find Bilingual Professionals via Boolean Search

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Have you ever had to find bilingual candidates or search for people who speak a specific language?

If so, you’re in luck – this week’s post focuses on a few ways of how do just that.

If not, no worries – the thought processes and search strategies I use in this post are helpful no matter what it is you’re searching for, because searching is 95% critical thinking and 5% Boolean syntax.

Boolean Search for Explicit Bilinguals

As with all searches, you must first realize that not all people who can speak more than one language will actually make mention of that in their resume, their LinkedIn/Google+/Facebook/Twitter profile or updates, or anywhere else they may leave information about themselves online. I’ll show you at least 1 way of searching for people who are highly likely to be bilingual, but do not make any explicit mention of languages or polyglotism later. Continue reading →

Boolean Search Strings, Referrals and Source of Hire

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I read an article on ERE about the other day titled “Love Writing Boolean Instead of Recruiting? Then Don’t Read This Post.”

While I happen to be pretty good at and thoroughly enjoy writing Boolean queries for talent mining, I actually love the entire recruiting life cycle. Sourcing is a means to an end, not a means in and of itself for me. Even so – with such a provocative post title (nice work John!), I had to read the article.

The article is a pretty strong pitch for Scavado, which “does the search work for you, saving hours of time otherwise spent developing Boolean search strings and applying them manually to each site searched.”

Things really got interesting when I got down to the comments on the article, as I stumbled into an interesting exchange between Amybeth Hale and Keith Halperin which covered direct sourcing, referral recruiting, and outsourcing sourcing at $6.25/hour.

Read on to learn my thoughts on all of the above. Continue reading →

Talent Mining and the Future of Sourcing and Recruiting

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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 →

Human Capital Data Analysts – Sourcing Samurai

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What’s The Sexiest Job in Recruiting?

I recently read this excellent post on the Google blog written by Jonathan Rosenberg, SVP, Product Management at Google, and I was especially excited to read this:

“Hal Varian likes to say that the sexy job in the next ten years will be statisticians. After all, who would have guessed that computer engineers would be the cool job of the 90s? When every business has free and ubiquitous data, the ability to understand it and extract value from it becomes the complimentary scarce factor. It leads to intelligence, and the intelligent business is the successful business, regardless of its size. Data is the sword of the 21st century, those who wield it well, the Samurai.”

Hal Varian gets it.

Google gets it.

So Why Don’t People in Recruiting and HR?

What am I talking about? That the ability to understand and extract value from data (human capital data in recruiting) is the scarce factor and it leads to intelligence and success in business.

***Note***

This post was originally published in March 2009 – when pretty much no one read my blog. now that I have a few more readers, I’ve decided to modify and update the original post, which you can read here.

Recruiting Technology is Not Anti-Relationship!

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Technology and Relationships are not Oil and Water

When I write posts about creating Boolean search strings to source and find talent/human capital – I often get responses from readers and those I train, especially staffing industry veterans who focus on executive search, that state that the foundation of recruiting is based on relationships built by human interaction and networking.

I couldn’t agree more.

Why does it seem to be ingrained in human nature to have an either/or mentality – as if things have to be one way or the other, but not both. Like phone sourcing vs database sourcing. You can and should do both, and I hope you are trying to contact and develop relationships with people identified via both methods.

If I wanted to be obtuse, I could argue that the phone is impersonal – and that to be a really good recruiter, I should never leverage the phone to make contact with people. Instead – I’ll just wander around looking for people to meet in person to establish a wonderful professional relationship with.

By the way – there isn’t anything instrinsically impersonal about leveraging technology to find or communicate with people. In case you haven’t noticed, there’s this thing called email that quite a few people use these days, and you know what? – it seems to work. I’ve also heard that there are millions of people communicating with something called text messaging, and that there are more text messages sent every day than phone calls made. How impersonal! :-)

Let’s face it – if it didn’t work, it wouldn’t exist and be used by so many people so often.

When I talk about leveraging technology for talent identification and acquisition, my primary point is NOT that it is a replacement for any other method of candidate identification, nor am I saying technology is a replacement for human interaction and relationship building. My point is that there is more and more information stored about more people somewhere electronically every day – and you can either learn how to harness the power of using Boolean logic to create search strings for Talent Mining that can ACCELERATE your ability to establish MORE relationships with MORE of the RIGHT people, MORE quickly…..or not. Continue reading →

The value of a resume database

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How do you value a database? 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.

When talking about the value of a company’s internal candidate database or the online job board resume databases, we must always be aware that their value is more accurately quantified by the user’s ability to find and retrieve any and all candidates who are appropriately qualified for their needs.

There are 3 major contributing factors as to why most sourcers and recruiters inaccurately value the resume databases they have access to.  #1 Talent Mining capability, #2 The search interface/engine, and #3 Believing the hype that the job boards only have desperate, active or poor quality candidates. Continue reading →

Resumes are not dead!

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With the buzz I continue to see and hear surrounding Twitter, social networks, Internet sourcing (blogs, articles, etc.) and such, it’s easy to look at resumes as dull, outdated, or at least “uncool” when it comes to sourcing and recruiting. I fear there are many people who get blinded by the “shiny object” factor of each and every “next new thing” that will supposedly revolutionize staffing, leading them to overlook the significant and tangible advantages that resumes have over other sources of talent identification information.

The limitations inherent with using Twitter, blogs, Internet articles, LinkedIn profiles and similar sources for talent identification is that they are what I classify as “shallow” sources of candidate information. In most cases, they contain very little information regarding critical candidate variables such as skills and responsibilities, quantity and quality of experience, career history and accomplishments, education, precise location, etc. Many shallow sources of candidate information simply do not provide ANY information regarding some of these details. With little or no information to go on, it is extremely difficult to search for and identify candidates who have a high probability of at least meeting the minimum requirements for your opening, let alone exceeding them.   Continue reading →

Talent Mining – what is it anyway?

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By my definition, Talent Mining is a simple adaptation of Data Mining, which according to Wikipedia is the process of sorting through large amounts of data and picking out relevant information, or “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data” and “the science of extracting useful information from large data sets or databases.”

I define Talent Mining as the science of sorting through large amounts of human capital/talent-related data, typically found in resume databases, on the Internet, in social networking profiles, blog posts, etc., and extracting out relevant and useful information from the data that can be used for talent identification and acquisition. Continue reading →

Black Belt Boolean

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I know – you may be asking yourself, “What is this guy thinking?” A blog about Boolean queries when all the buzz is currently about Social Networking, Mobile Recruiting and such? True – Boolean search strings aren’t as sexy, shiny or new as Facebook, Twitter or Cloud Recruiting. However, in the hands of an expert, and in my direct experience, advanced Boolean search strategies and tactics used in conjunction with internal/corporate resume databases and job boards (yes, I said job boards – more on that later) can and do yield higher quantities of highly relevant results more quickly than any other method of talent identification and acquisition. Continue reading →