Datapik provides companies a data driven approach to identifying high-potential applicants for any given business-to-business sales role.
Current talent acquisition practices rely on outdated assessments and unverified intuition. The company then analyzes candidates applying for a sales position and reports the probability that the candidate will be a high-performing sales representative. The Datapik assessment integrates smoothly into the online application workflow.
Datapik uses natural language processing technology and machine learning algorithms to evaluate the psychological composition of high-performing salespeople. The company is the first to use natural language processing and cognitive technology to vet candidates for one particular role.
Datapik's goal is to become the new standard for evaluating entry level sales candidates. No other company is using the combination of natural language processing and cognitive technologies to evaluate this population. Datapik believes that with further trials they can create the most accurate means of measuring the capabilities of entry-level sales candidates.