Toward dataflow-centric process management of data-rich processes

Wings, Sujit; Harkonen, Janne (2025-04-16)
 
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URL:
https://doi.org/10.1108/JSIT-07-2024-0243

Wings, Sujit
Harkonen, Janne
Emerald
16.04.2025

Wings, S. and Harkonen, J. (2025), "Toward dataflow-centric process management of data-rich processes", Journal of Systems and Information Technology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JSIT-07-2024-0243

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© Sujit Wings and Janne Harkonen. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
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doi:https://doi.org/10.1108/JSIT-07-2024-0243
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202504162729
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Abstract

Purpose:
This study aims to analyze the end-to-end management of complex processes by focusing on process efficiency, data utilization and automation potential to optimize value addition and business outcomes. It addresses an environment in which traditional workflow-centric process optimization is challenged by trends that significantly increase the amount of data in service and service delivery processes.

Design/methodology/approach:
The approach involves analyzing process management in the insurance field by combining scoping reviews, qualitative semistructured interviews and data stream mapping.

Findings:
The key findings indicate that the effective management of complex processes end-to-end requires a paradigm shift from a workflow-centric approach to dataflow-centric process management to achieve end-to-end effectiveness and efficiency. A dataflow-centric approach shows a better potential for data quality for process decision points, which would support decision-point automation. The downstream impacts of data quality and automation capability on downstream processes are highlighted as significant considerations. The importance of addressing data quality among the process effectiveness metrics is highlighted.

Originality/value:
Originality involves a proposal for approaching a data-centric model that bridges the gap between workflow-centric process management and the complex data-intensive demands of modern service delivery processes. This is an environment with increasing amounts of data in service and service delivery processes.
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