Work place: Kuveyt Turk Participation Bank, Information Technologies Research and Development Center, 41420, Kocaeli, Turkey
E-mail: sedat.taskesenlioglu@kuveytturk.com.tr
Website:
Research Interests: Computer Architecture and Organization, Data Mining, Data Compression, Data Structures and Algorithms
Biography
Sedat Taşkesenlioglu started his career as a technical internal auditor in 2007. He has audited many domestic and international projects in the field of Telecom, Textile, Construction, Energy, and IT. He has been working as an IT Quality Management Engineer in KT Bank for eight years. He received his M.Sc. from Management Information Systems, Sakarya University. He has participated in projects about Process Mining and predictive ML models based on process logs analyzing IT processes in R and Python. His research interests include Process Mining, Data Science, and Process Improvement.
By Cuma Ali Kesici Necmettin Ozkan Sedat Taskesenlioglu Tugba Gurgen Erdogan
DOI: https://doi.org/10.5815/ijitcs.2022.05.01, Pub. Date: 8 Oct. 2022
Process Mining (PM) and PM tool abilities play a significant role in meeting the needs of organizations in terms of getting benefits from their processes and event data, especially in this digital era. The success of PM initiatives in producing effective and efficient outputs and outcomes that organizations desire is largely dependent on the capabilities of the PM tools. This importance of the tools makes the selection of them for a specific context critical. In the selection process of appropriate tools, a comparison of them can lead organizations to an effective result. In order to meet this need and to give insight to both practitioners and researchers, in our study, we systematically reviewed the literature and elicited the papers that compare PM tools, yielding comprehensive results through a comparison of available PM tools. It specifically delivers tools’ comparison frequency, methods and criteria used to compare them, strengths and weaknesses of the compared tools for the selection of appropriate PM tools, and findings related to the identified papers' trends and demographics. Although some articles conduct a comparison for the PM tools, there is a lack of literature reviews on the studies that compare PM tools in the market. As far as we know, this paper presents the first example of a review in literature in this regard.
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