“Big Data” for Human Capital Management can report on more than 100 Billion individual data elements.

WANTED Technologies (TSX-V: WAN), the leading supplier of data analytics for the human capital marketplace, announced today that its database of information now contains more than one billion records. From this warehouse of “big data”, WANTED derives analytical insights into Supply and Demand for talent. The Company’s clients, which include corporate HR departments, staffing agencies, and government analysts, use these insights to make more intelligent decisions in areas such as recruiting, workforce planning, economic development and educational policy.

“We have been compiling and storing data on hiring activity in the US and Canada since 2005,” said Bruce Murray, President and CEO of WANTED Technologies. “The cumulative size of this data warehouse allows us to extract proprietary insights on the supply and demand for talent.”

WANTED’s products include both real-time measures hiring activity as well as historical trends for more than 11,000 individual occupational categories. The real-time hiring activity provide Recruiters in corporate HR departments and staffing firms with a detailed assessment of how many of their competitors are also hiring for the same positions. The historical trend data, which illustrates hiring behavior before, during, and after the recession of 2009, gives economic and policy analysts a definitive measurement of how the labor economy performs through an entire economic cycle.

Each record in WANTED’s data warehouse is made up of more than 100 individual data elements. These elements consist of attributes that include the date of a job opening, the occupation, the employer, the location and the industry. In addition each of the one billion records includes a job description that describes the skills, certifications and other requirements for the positions.

Taken in aggregate, the number of data elements in the cumulate database exceeds 100 billion.

“We mine this database and make the results available to our clients through our online dashboard, WANTED Analytics™,” said Murray. “We also offer to license this data set to clients who conduct their own analysis.”

WANTED’s aggregation of data includes capturing information for online job sites and corporate career sites. Most recently, the Company has extended its data collection efforts to geographies outside of North America. Future products will contain data on supply and demand for talent on a global basis.

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

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