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

Geno Stefanov
Additional contact information
Geno Stefanov: University of National and World Economy, Sofia, Bulgaria

Innovative Information Technologies for Economy Digitalization (IITED), 2025, issue 1, 257-261

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.unwe.bg/doi/iited/2025/IITED.2025.32.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nwe:iitfed:y:2024:i:1:p:257-261

Access Statistics for this article

More articles in Innovative Information Technologies for Economy Digitalization (IITED) from University of National and World Economy, Sofia, Bulgaria Contact information at EDIRC.
Bibliographic data for series maintained by Vanya Lazarova ().