DATA ANALYSIS FROM THE APPLICANT TRACKING SYSTEM

Miroslava Peicheva ()
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Miroslava Peicheva: Department Human Resources and Social Protection, UNWE, Bulgaria

HR and Technologies, 2022, issue 2, 6-15

Abstract: According to the results from research (Rodriguez, 2022), 90% of Fortune 500 companies use Applicant Tracking Software. It is obvious that ATS is here to stay. The main purpose of this article is to analyze the types of data that applicant tracking systems (ATS) provide and how these data serve to make informed decisions. The tasks through which the goal will be achieved are: analysis of the essence of systems for tracking applicants for a vacant position, analysis of the main functions of ATS (using the example of BambooHR), analysis of the data that ATS provides, analysis of advantages, benefits from the use of ATS and the data they provide. Some of the key conclusions are that ATS reduces human effort and frees up recruiters' time to perform in-depth data analysis and make informed decisions; ATS will change how candidates prepare the content of their resumes. Limitations of the present article: only some data that are present in the ATS reports will be analyzed. The article does not aim to analyze the debate on the difference between data and information.

Keywords: data analysis; the applicant tracking system; resume parsing; yield ratio; offer acceptance rate (search for similar items in EconPapers)
JEL-codes: O15 O30 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:arb:journl:y:2022:i:2:p:6-15

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