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Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle
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| 745.37 KB | Adobe PDF |
Autores
Resumo(s)
Business Process Management (BPM) is a management discipline that has gained recognition as a
crucial factor for organizational success. Its primary focus is on documenting and redesigning processes
to enhance process performances, gain awareness of the reality of the processes and tackle process
inefficiencies across various business areas. However, current implementations of BPM often fail to
fully exploit its potential benefits, leading to blocked initiatives. This happens since the dynamic nature
of business environments and the rapid pace of change necessitate a flexible framework for BPM that
can effectively handle these challenges. Unfortunately, there is a lack of a cohesive and structured
theoretical foundation to address the pitfalls of BPM, which the basis reside on the subjectivity of BPM
initiatives and the lack of process real perception. This paper aims to introduce an integrative and
technology-based holistic framework that enhances the agility and flexibility of BPM implementation,
by integrating emerging technologies, that promote agile solutions like Process Mining, and addressing
the limitations of current BPM frameworks, this new framework aims to provide actionable
recommendations for practitioners and organizations to use. The paper discusses the current issues
and controversies surrounding non-agile BPM applications, explores the potential of emerging
technologies for agile BPM, presents an agile BPM framework using Process Mining emerging
technology, and assesses the impact of process mining on BPM agility through a questionnaire-based
survey. Through an extensive review of existing literature and insights from BPM and Process Mining
experts, this paper contributes to the development of a practical and adaptable framework for BPM
to enhance processes across organizations and promote data driven process insights and decision.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Business Process Management Data Process Emergng Technologies Process Mining Agile Data drive SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure