New York, NY (PRWEB) November 18, 2014 -- Joberate, a digital information service that measures and quantifies job seeking behaviors of the global workforce, recently conducted analysis of its U.S. job seeking behavior data, which shows that 12.1% of full-time working Americans are exploring or actively seeking new employment opportunities, up from 8.2% over the last 90 days, representing nearly a 32% increase in U.S. job seeking behaviors
4.8% of U.S. workers are exploring new employment opportunities, while 7.3% are actively seeking new jobs. Joberate is currently measuring job seeking behaviors of 32,076 people across 100 publicly listed companies as the dataset to support this analysis. Joberate’s technology measures people’s publicly available digital footprint, which includes their public Social Media data, to quantify what U.S. workers are actually doing in terms of their job seeking activities, instead of their responses to marketplace surveys.
Joberate’s approach to measuring U.S. employment sentiment and overall employee engagement complements other approaches by companies like Monster, Corporate Executive Board, Great Places To Work Institute, LinkedIn, Careerbuilder, and Jobvite, which often rely on survey responses. Joberate’s approach also draws a contrast between what people say in survey responses versus what they actually do in real life. A recent Jobvite announcement said that Jobvite “conducted a nationwide online omnibus survey of 2,135 adults (aged 18+), of whom 1,303 were participants in the U.S. labor force” suggested that 51% of the U.S. workforce are either actively seeking or open to a new job. And a January 2014 Careerbuilder announcement predicted that 21% of U.S. full-time employees would change jobs in 2014, which is closer to Joberate’s analysis of real-time job seeking behaviors of U.S. workers.
Joberate, winner of the 2014 iTalent HR Technology competition, is a disruptive digital platform that helps companies tackle myriad business challenges that stem from voluntary employee attrition. This represents a $350 billion global problem that businesses must address strategically. Commercial applications of Joberate technology support organizational talent retention initiatives, real-time evaluation of employee engagement and sentiment, leadership and organizational development, workforce planning, internal mobility and redeployment, internal and external competitive benchmarking, internal and external talent market mapping, and quantitative indexes that can be incorporated into Corporate Social Responsibility initiatives.
At the core of Joberate technology is a proprietary machine learning predictive analytics engine, which leverages publicly available data, and numerically quantifies various job seeking attributes such as how likely a person is to seek a new employment opportunity outside of their current employer. Joberate Employment Topology, or JET, is a proprietary approach to scoring individual job seeking behavior, which leverages thousands of possible data points about each person to calculate his or her J-Score. Extensive client utilization has revealed J-Score to be a reliable predictive analytic, making Joberate technology unique in its functionality and application.
“Our mission is to help society better understand job seeking behaviors of the global workforce, and to quantify that behavior so that it’s easier for economists to assess micro and macro employment trends, for companies to retain their talent, and for people to find work that fulfills their lifestyle,” said Michael Beygelman, Joberate CEO. He continued, “Even though we are living in the information age, companies still rely on intuition, generic surveys, and static HR data to rationalize the complexities of what is happening with their workforce on a real-time basis, how to capture marketplace opportunities, and how to avoid risk.”
For additional information about Joberate award-winning technology, please visit http://www.joberate.com.
Joberate’s mission is to help society better understand job seeking behaviors of the global workforce, and to quantify that behavior so that it’s easier for companies to retain their talent and for people to find work that fulfills their lifestyle. At the core of Joberate technology is a proprietary machine learning predictive analytics engine, which leverages publicly available data, and numerically quantifies various job seeking attributes such as how likely a person is to seek a new employment opportunity outside of their current employer. Joberate Employment Topology, or JET, is a proprietary approach to scoring people’s job seeking behavior, leveraging thousands of possible data points about each person to calculate his or her J-Score. Joberate’s technology is available as a standalone, web-based SaaS application, as well as an API that can be integrated into leading Talent Management, ATS, CRM, and HRMS applications.
Joberate won the 2014 iTalent technology competition, hosted by HRO Today Forum, from a prominent field of finalists including Glassdoor, Jibe, Smashfly, and 1-Page. In 2013 the company was named a finalist at the UK National Online Recruitment Awards competition in the category of Best Innovations in Online Recruitment along with prominent companies like LinkedIn, and Joberate was recently shortlisted by SAP for the “Big Data Startup of the Year” award.
Michael Beygelman, Joberate, http://www.joberate.com, +1 (617) 304-6509, [email protected]