"We can show the size of the total workforce in any given occupation and location, but now also have extended our supply measurements to include estimates of potential candidates and their diversity at post-secondary schools across the US."
New York, NY (PRWEB) March 14, 2014
WANTED Technologies (TSX-V: WAN), the leading source of real-time business intelligence for the talent marketplace, announces the launch of new graduate candidate supply data, the latest enhancement to the company’s industry-leading Analytics™ platform (http://www.wantedanalytics.com).
The data on colleges and universities provides insight into the potential supply of college students that will graduate with the education needed for any job in the United States. Data is available on a national level, as well as for state and metropolitan areas. With this information, employers can assess the availability of potential candidates recently completing undergraduate, graduate, or doctoral programs that likely have the education needed for an open job.
“We can show the size of the total workforce in any given occupation and location, but now also have extended our supply measurements to include estimates of potential candidates and their diversity at post-secondary schools across the US,” said Bruce Murray, President and CEO of WANTED Technologies.
The data for a specific school, including gender and ethnicity statistics, are collected and modeled from college and university reporting to show the level of education as well as the diversity of the student population. Companies will be able to use WANTED Analytics to develop programs to attract college students, work with universities on internship and training programs that prepare the future workforce, and develop a talent acquisition strategy that includes campus recruiting.
Users of the WANTED Analytics products and solutions can view hiring demand, gain unmatched competitive intelligence, assess talent pools, find potential sales leads, and source candidates for hard-to-fill jobs. WANTED Analytics is the leading business intelligence platform for the talent marketplace. Clients use WANTED Analytics to gain real-time insight into the activity in the recruiting space. The company serves organizations in the corporate HR, staffing, media, and government sectors.
“We help professionals solve their talent acquisition and business challenges by providing them with a complete view of real-time, detailed, reliable information that will help them make smarter, faster decisions,” said Murray.
For more information about WANTED Analytics and to get a free trial, visit http://www.wantedanalytics.com/tryit.
About WANTED Analytics™
WANTED Analytics™ helps recruiting organizations make better decisions faster with real-time business intelligence on jobs, employers, and talent. Analytics brings together, for the first time, years of hiring demand and talent supply data to create a true talent intelligence platform for hard-to-fill positions.
Clients in the staffing, HR, RPO, media, and government sectors use WANTED Analytics™ to find sales leads, analyze employment trends, gather competitive intelligence, forecast economic conditions, and source hard-to-fill positions.
About WANTED Technologies Corporation
WANTED Technologies (TSX-V:WAN) provides real-time business intelligence for the talent marketplace. Founded in 1999, the company’s headquarters are in Quebec City, Canada, and it maintains a US-based subsidiary with primary offices in New York City. WANTED began collecting detailed Hiring Demand data in June 2005, and currently maintains a database of more than one billion unique job listings. For more information or to sample WANTED’s services, visit http://www.wantedanalytics.com.
WANTED is also the exclusive data provider for The Conference Board Help Wanted OnLine Data Series®, the monthly economic indicator of Hiring Demand in the United States.
The TSX Venture Exchange does not accept responsibility for the adequacy or accuracy of this release. Any statement that appears prospective shall not be interpreted as such.