Full: Article: http://www.siia.net/bims/PROGRAM/Models-of-Excellence

PeopleTicker aggregates salary and labor rates for direct and contract workers worldwide, allowing employers detailed and dependable insight into market rates.

Nearly 40% of American workers are now considered “contingent,” also known as independent contractors, consultants and temporary employees. This form of employment is large and continues to grow rapidly. But what should these workers be paid? That’s a critical piece of information necessary for employers to obtain maximum benefit from this employment model. Yet, all the traditional benchmarks of employee compensation are focused on full-time employees. 

“With nearly 40% of all workers employed on something other than a full-time basis, there’s a tremendous need for benchmark data on pay for these contingent employees. People Ticker has positioned itself as a central data source on this burgeoning new employment category by going far beyond simply replicating existing survey approaches. By harnessing Big Data tools and algorithmic approaches that radically improve the quality and value of the data being collected, it has built a powerful product that elegantly solves a real need in the marketplace” .—Russell Perkins, Founder and Managing Director, InfoCommerce Group

Enter PeopleTicker, which collects salary and hourly data for both direct and contingent workers globally and in real-time, aggregating over 100 million rates. PeopleTicker obtains rate data directly from major multinational companies and government agencies, and augments this by harvesting publicdata from SkillsVillage, social media, and extensive web crawling. Moreover, PeopleTicker is aware of the limitations of existing salary benchmarking systems that depend on fixed, generic job descriptions and has developed an algorithmic approach to delivering more precise and relevant pay data.

PeopleTicker is noteworthy not only because it found a solution to a burgeoning employment category that required benchmark compensation data, but also for going beyond simply replicating existing survey approaches by harnessing Big Data tools and algorithmic approaches that radically improve the quality and value of the data being collected.