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Data Types in Business Process Management: classification, comparison, and analytical potential

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  • Geno Stefanov

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

Business Process Management (BPM) generates and uses a variety of data types that play a key role in modeling, analyzing, optimizing, and monitoring business processes. This report provides a systematic classification and comparison of the main categories of process data used in BPM - process models (BPMN), process execution data (log data), and contextual business data. Their characteristics, sources, purposes, and applicability in various analytical scenarios are analyzed - from process mining to predictive analytics and business process optimization. A comparative summary of the advantages and limitations of each data type is presented, as well as their importance for generating knowledge and making management decisions. Finally, the main challenges related to their integration, quality, and joint use are outlined.

Suggested Citation

  • Geno Stefanov, 2025. "Data Types in Business Process Management: classification, comparison, and analytical potential," Innovative Information Technologies for Economy Digitalization (IITED), University of National and World Economy, Sofia, Bulgaria, issue 1, pages 257-261, October.
    • Handle: RePEc:nwe:iitfed:y:2024:i:1:p:257-261
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    File URL: https://www.unwe.bg/doi/iited/2025/IITED.2025.32.pdf
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    References listed on IDEAS

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    1. Veska Mihova & Aleksandrina Murdjeva, 2014. "Dynamic administration of database productivity," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 430-437.
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