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Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution

   

Added on  2023-06-04

10 Pages2570 Words489 Views
Data Science and Big DataMaterials Science and Engineering
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Assignment Title: BUSINESS PROCESS ENGINEERING
Paper Title: CASE ANALYTICS WORKBENCH: PLATFORM FOR HYBRID
PROCESS MODEL CREATION AND EVOLUTION
Authors: Yiqin Yu, Xiang Li, Haifeng Liu , Jing Mei , Nirmal Mukhi , Vatche Ishakian,
Guotong Xie , Geetika T. Lakshmanan , and Mike Marin
NAME
STUDENT ID
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution_1

Introduction
This essay aims at discussing and elaborately expanding on the proceeds of the 11th through the
13th international conferences that were conducted on Business Process Management. The paper
discussed has a direction relevance to business process management. The selection conference
article for this essay is Case Analytics Workbench: Platform for Hybrid Model Creation and
Evolution. Hybrid process models are perceived a luring approach that can be adopted on the
modelling of processes that are knowledge intensive. A hybrid model is composed of both
declarative and imperative processes which can deal with both the flexible and structured aspects
of any business processes (Yu et al., 2015).
Nonetheless, it tends to be a challenge as well as consuming a lot of time to generate as well as
purify a hybrid process owing to the sophisticated nature of the structure as well as the variability
of the case. This paper is composed of an introduction to Case Analytics Workbench, a
throughout system that is used in the acceleration of the process of hybrid process model as well
an evolution through joining imperative and declarative process mining, human interaction and
clustering in a cloud environment (Muthusamy et al., 2016). The validity of the effectiveness and
applicability of the system is as well verified through conducting two case studies one from the
healthcare sector and the other from insurance industry.
Business Process Modeling
Business Process Modeling has a fundamental role to play when it comes to the domain of
business process management that tends to be the activity that is representative of the processes
in an enterprise to enable their execution, analysis as well as improvements. Besides the
emerging knowledge intensive process, the imperative approaches comes across challenges (Ur
Rehman, Chang, Batool & Wah, 2016). The carrying out and execution of the processes that are
knowledge based mainly rely on the knowledge staff working on different linked to decision
making that is knowledge intensive responsibilities that are centric to information and need
elaborate flexibility. Approaches of declarative approaches among them DCR Graphs, Declare
and SCIIFF have been recently suggested to be in support of the required flexibility. Just the
mainly features are discussed in the model way the declarative models while the constraints
between the various activities are defined explicitly to inhibit banned behaviors (Yu et al., 2015).
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution_2

A research among the various scholars illustrate that the declarative language of modeling is not
among the process modelling languages which can be adopted in the whole process processes in
real practice. It as well demonstrated that in a number of the mechanisms, at least a fraction of
the processes are better substituted through the use of imperative approach. As a general
perception, the hybrid modelling approach, in combination with the declarative and imperative
modelling approaches, tends to be a more luring way of modelling the whole business processes
(Rosemann & vom Brocke, 2015).
From the human effort perspective, the creation and refining of a hybrid process does not qualify
to be a trivial work specifically for knowledge intensive mechanisms. In the first place, the
modeller should be equipped with the general perspective regarding process model. It would turn
out to be more challenging besides the ever increasing complexity of information or structure of
the process. The second aspect involves having an understanding or otherwise learning curve for
the modeller so as to get hold of new hybrid modelling guidelines and languages (Yu et al.,
2015). The third aspect involve ensuring that the model hybrid is kept up to date and this
involves the modeller being in a position to run the methods of process mining and elaborating
the results extensively for the purposes of refining the model. The last aspect would involve the
modeller calling on the attention of other analytics methods in the provision of customized
modeling.
Case Analytics Workbench is introduced as an end to end system that may be adopted in easing
the workload of process modellers as well as accelerates the creation and evolution of hybrid
process model. The system is such that it:
Leverages event log clustering in offering support to the reorganized process modelling
Brings together the results of imperative and declarative process mining in the extraction
of data driven evidence as well synthesizing them automatically (Yu et al., 2015)
Research Method Used
This research adopted a report on the case of two real world use, that are derived from the health
care industry and insurance in the demonstration and evaluation of the ability of the workbench
hat is proposed. The first case described how the various compositions in the workbench are
orchestrated in a way that can aid the modeller in the creation of an underwriting process model
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution_3

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