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Data Analysis From The Applicant Tracking System

Author

Listed:
  • Miroslava Peicheva

    (Department Human Resources and Social Protection, UNWE, Bulgaria)

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.

Suggested Citation

  • Miroslava Peicheva, 2022. "Data Analysis From The Applicant Tracking System," HR and Technologies, Creative Space Association, issue 2, pages 6-15.
    • Handle: RePEc:arb:journl:y:2022:i:2:p:6-15
    as

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    File URL: https://journal.cspace-ngo.com/arb/Issues/2022/2/1-Peicheva.pdf
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    References listed on IDEAS

    as
    1. Lyubomir Minchev Stefanov, 2021. "Human Resources Management In Bulgarian Organizations During The Covid Crisis - Main Conclusions And Perspectives," HR and Technologies, Creative Space Association, issue 1, pages 13-25.
    2. Radka Nacheva, 2021. "Digital Workplace Accessibility For Visually Impaired People," HR and Technologies, Creative Space Association, issue 2, pages 76-90.
    3. Radka Nacheva, 2021. "Digital Workplace Accessibility For Visually Impaired People," HR and Technologies, Creative Space Association, issue 2, pages 76-91.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    data analysis; the applicant tracking system; resume parsing; yield ratio; offer acceptance rate;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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