Automated Skills Analytics, Domain-Specific Search, and Talent Matching powered by DataScava
Powered by DataScava’s unstructured data miner, TalentBrowser gets the most from resumes and profiles.
It mines, measures, and filters skills, roles, and experience for use in Talent Matching and People Analytics.
Working as a standalone ATS or with your other solutions behind the scenes, it keeps the Human in Command.
Gain insight into new and previously-sourced candidates, or existing staff, and match them across needs 24/7.
Automated Skills Analytics algorithms generate millions of Weighted Topic Scores and other value-added visible metadata from your resumes and profiles — about each person’s skills, roles, experience, education, and more — to unlock the value of incoming applicants, previously-sourced candidates, and your existing staff.
TalentBrowser uses DataScava’s Domain-Specific Language Processing (DSLP), which works as an adjunct or alternative to Natural Language Processing (NLP), and Tailored Topics Taxonomies, which lets you select, edit, create, weight, and refine your topics of interest in real-time for use in mining your resumes and profiles.
Our Talent Matching uses patented Weighted Topic Scoring and Tailored Topics Taxonomies you define to match all of your resumes and profiles from existing staff, talent pools, new applicants, and referrals across all open needs automatically, filtering out those who don’t meet your minimum criteria in every topic.
