Niche Talent Sourcing – Trust on specialists.
Although many business realizes the value of enormous amounts of data crunching for recruiting, there is still a void of performance data available when it comes to working with external talent suppliers. And both the corporate recruiter and search firm want to make a quality placement fast.
In the experience of TalentSumo, a vast majority of placements come from specialty recruiters, and employers needed a way to quickly connect with the right recruiters. TalentSumo’s algorithm matches the job with the specialty recruiters who have statistically performed the best for that type of role. You don’t have to manage selection our performance-based matching occurs automatically to find the best.
Our world-class data analytics get more powerful with our social analytics that tracks the employer brand metrics around the social media so that we can get insights on what is working in terms of “job outreach”.
Machine learning principles leveraged by TalentSumo can:
- Resume Screening – Resume screening is traditionally performed manually, using criteria that may not be standardized for every resume. This system creates inherent bias. By using standard parameters to develop the criteria for an ideal candidate, the virtual assistant can quickly identify those desirable elements through pattern recognition.
- Candidate Sourcing – IBM Watson powered virtual assistant can use credentials to automatically connect to third-party candidate websites. Based on the parameters set by the client, the algorithm consistently performs searches these websites to identify candidates matching criteria sought by the employer.
Unique data-driven Ratings
TalentSumo Marketplace recruiter ratings that are machine-generated and based on quantifiable data that gauges a Search Firm recruiter’s actual performance relative to peers in similar situations.
Search Firm Recruiter ratings are especially valuable in building employer confidence and trust in search firms they have not worked with previously. Scout ratings are calculated using a range of data points, including the candidate submissions, acceptances, and rejections relative to peers in similar scenarios on the platform. Expirations are not considered when calculating ratings.
TalentSumo also normalizes the data to account for non-controllable factors such as whether or not a search firm is a Preferred Provider and timing of candidate submission relative to job posting date.
Big data benefits specialty recruiters as well. One contract gives them access to a vast marketplace of relevant job requisitions, reducing the amount of time they need to spend on business development. With this model, specialty recruiters receive the job orders they are best equipped to fill. This results in more business opportunities and more satisfied clients. According to Staffing Industry Analysts, “specialization and sourcing relevant job orders create a tremendous business advantage for agency recruiters.”