The image depicts how to solve the issue and improve further issues involving matching qualified
individuals for qualified jobs by employing technology and funding.
The image presents a maze-like graphic that purports to navigate the job matching puzzle.
At each point in the flow, data is presented. At the beginning, for instance, 226 million
dollars is reported to be invested in recruitment by human resource firms by venture capitalist
companies in 2011.
This image is entitled "Needle, Meet Haystack: Solving the job-matching puzzle." It shows
a flow chart showing the ways in which dozens of large and small companies are racing to build
the next generation of job-matching websites. Monster.com has invested $72.5 million in semantic
search technology. $5.75 billion is expected to be spent in 2012 on online recruitment.
$226 million was invested in recruitment and human-resource firms by venture-capital companies
in 2011. It further states that entrepreneurs want to improve job-matching using technology
similar to online dating sites. The main obstacle is to build software that can read a resume
or job description as a human would. Sources: Borrell Associates (online recruitment );
Dow Jones VentureSource (recruitment and human-resource firms); Monster Worldwide (new semantic
search technology); Graphic by Alberto Cervantes. Data shown in The Wall Street Journal.
This chart from the Wall Street Journal shows how the job matching process and recruitment
cycle is more complicated and difficult now than ever before
This chart is a flow chart for solving the job matching puzzle of employees to employers.
Some examples are use of job matching websites and recruitment spending.
This chart from the Wall Street Journal shows how the recruiting cycle has changed for companies
looking to fill positions in their company and how it is more complex
This chart describes the "needle in the haystack" type of issues faced when attempting to
recruit skilled employees by job matching websites. But with $226 million invested by venture
capitalists 2011 they can't build software as skilled as a human recruiter.
The image depicts a diagram explaining how to solve the problem of matching qualified workers
with applicable work. By way of advanced technological innovation, the issue appears to be
easier to handle than before.
This image shows or depicts in illustrative statistical format data concerning in trying to
solve software that can perform the same as a human in determining resumes or job descriptions.
This is a chart about matching people to the correct jobs for them. According to the chart,
dozens of companies are racing to build the next job matching website. Monster's new semantic
search is called 6Sense and it cost over 72.5 million dollars.
