Update fron Entelo, post publishing – “Entelo doesn’t scrape the web but rather, we use machine learning to develop proprietary insights about candidates, based on information gleaned from our 50+ licensed data partnerships and information candidates elect to make public.”

I’m an investor in a couple of dozen companies and sit on the boards of several of them and the single issue that takes up most CEOs times is hiring great people. There is massive, unquenchable demand for smart people, and this is especially so in the technology industry. Good people are the difference between success and failure and the costs involved in recruiting and hiring good people is huge. Which I why there is so much work being done to create platforms that make it easier for companies to hire the right people.

Today’s example is Entelo. Entelo is all about helping recruiters identify, qualify and engage talent. It’s a typical pitch, one that includes applied intelligence and big data.And it’s a pitch which seems to be gaining some ground – Entelo’s customer list is over the 700 mark and includes such well-known brands as Cisco, Genentech, Lyft, Netflix, Northrop Grumman and Target.

Entelo is upping the ante today with the release of a kind of candidate single pane of glass. Entelo Insights is designed to display all the relevant information about a candidate in a single place and assess those candidates according to a particular organization’s and a particular role’s requirements.

The idea of Insights is to combine applicant provided data (like a candidates resume) alongside external data scrapped from the web at large. To this end, Entelo has inked partnerships with CrunchBase, Comparably and Paysa, Entelo to deliver information about an individual’s current employer, workplace satisfaction, and compensation. This information is added to current product offerings within Entelo like how likely the candidate is to change jobs, diversity indicators and search match.

The complete list of the different types of data that Entelo can deliver about a candidate reads like a dystopian novel (if you’re inclined to think that machines knowing a lot about you is a bad thing) or a science fiction fantasy (if you’re bullish about the opportunities for AI and other such buzzwords. That data includes:

  • Search Match: shows how well each candidate aligns with a given set of search criteria, based on dozens of predictive variables, such as skill mastery.
  • Company Fit: estimates fit with an organization, based on dozens of variables, including industry and past employers.
  • Career Progression: maps a candidate’s career timeline, promotion rates and growth projections.
  • Company Insights displays the candidate’s past and current employers and reveals pertinent information like company culture score, salary range and more.
  • Candidate Highlights: showcases insights into a candidates’ key achievements, strengths, and credentials.
  • Diversity Candidates: highlights individuals from underrepresented groups based on gender, ethnicity and veteran status, directly from within Entelo’s broader Search platform.
  • More Likely to Move: analyzes dozens of predictive variables to surface those who are more receptive to new opportunities. More Likely To Move™ candidates are twice as likely to move to a new job within the next 90 days.
  • Talent Pool Insights: interactive and up-to-date insights reveal the pools with the most skilled candidates for open positions.

An interesting tidbit that Entelo’s data wranglers came up with is that men on average list 16 percent more skills in their resumes than women with similar experience and roles, meaning recruiters using simple keyword searches may miss out on eligible hires who are more humble in representing themselves. In a nod to every organization’s attempts to be more diverse and inclusive, Entelo Insights is designed to deliver a complete picture of each candidate, boosting opportunities for employers to access full candidate pools and match the right talent with the right role, removing the unconscious bias.

Entelo also helps with candidate communication by providing “actionable recommendations” in terms of messaging – essentially what that means is that Entelo builds up a psychometric picture of a candidate and helps recruiters chose the right words to most effectively lure them in. Creepy? You be the judge.

Creep factor aside, Entelo is answering a very real requirement that employers have. It might be a bit jarring to classify every potential candidate as a piece of meat to be sorted into its various categories but it is, alas, probably a fair reflection…

Ben Kepes

Ben Kepes is a technology evangelist, an investor, a commentator and a business adviser. Ben covers the convergence of technology, mobile, ubiquity and agility, all enabled by the Cloud. His areas of interest extend to enterprise software, software integration, financial/accounting software, platforms and infrastructure as well as articulating technology simply for everyday users.


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