BCO5501 VU - Review of Case Analytics Workbench: BPM Conference

This essay reviews the paper 'Case Analytics Workbench: Platform for Hybrid Model Creation and Evolution' from a Business Process Management conference, focusing on its relevance to business process engineering. The paper introduces Case Analytics Workbench, a system designed to accelerate hybrid process model creation and evolution by combining imperative and declarative process mining, human interaction, and clustering in a cloud environment. The review supports its analysis with at least three other relevant articles and discusses the role of business process modeling, challenges in knowledge-intensive processes, and the benefits of hybrid modeling approaches. Two case studies, one from healthcare and the other from insurance, are presented to validate the system's effectiveness and applicability. The essay concludes by highlighting the system's cloud-based architecture, its benefits for various stakeholders, and future considerations for hybrid process modeling, including addressing the inadequacy of CMMN and BPMN.

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

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).

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

in a manner that is most convenient. The second case study on the other hand, explores on the
refines of sophisticated hybrid model (Yu et al., 2015).
The case study has the server side of the workbench being adopted on the IBM Bluemix, that
tends to be a platform that is cloud-based that is used for building, operating as well as
management of various apps. The components of database of the server-side of the workbench
were used a Bluemix Services through the use of SQL Database Service in Bluemix beside
Cloudant as well as other parts were used as Bluemix APPs that offered RESTful APIs.
Case study 1: Derivation and Underwriting Creation of Process
The case study structured in such a way that it served as an optimization and improvement of the
underwriting process which can be traced back to the real specifications of an insurance
company (Yu et al., 2015). This involved the creation of a raw case model as illustrated in the
figure below in which the primary skeleton as composed of activity as well as structural elements
including Task, Case, Step as well as Stage elements
The various aspects of the case study included:
Preparation and Clustering of Data: This involved the collection of 4300 historical execution
logs from the insurance company of the undergoing process that lasted from August through
December 2013. The collected data was thereafter converted to firma event logs through the use
of data preparation aspect and thereafter the triggering f event log clustering so as to come up
with definite from the initial model (Paige, Matragkas & Rose, 2016). This led to the generation
of two clusters, one containing 2038 case instances and the other 2267 instances. The
visualization of the results of the declarative process mining is as shown in the figure below

Figure 1: Visualization of the results of the declarative process mining: Extracted from (Yu et al.,
2015)
Process Mining: Figure 1 is illustrative of the findings of the declarative processing mining
technique which as well adopted the raw case model as the input and had Cycle time less than
two day as the set goal (Balko & Vasudevan, 2014). All the findings were visualized in a
Dendrogram to enhance elaborate understanding since the Dendrogram illustrated clearly the
structures of the types of variation. Each of the findings was llustrated as a leaf of the
Dendrogram node with its key features among them support degrees as well as a correlation with
the goal attainment. It was noted that some important and reasonable elements, not identified in
the raw model among them extra tasks besides extra constraints were successfully realized by the
declarative process-mining motor.
Evidence and Evidence Synthesis: The pieces of evidence illustrated in figure 2 were changed
from findings of both imperative and declarative engines of process mining. Strong evidence
having a support of greater than 0.3 as well as a goal correlation of more than 0.5 was chosen
through the filter before the automatic evidence synthesis engine was run. Figure 3 shows the UI
synthesis (Vom Brocke, Petry & Gonser, 2016).

Figure 2 (a) The synthesis overlay on the raw case model; (b) The final model after synthesis:
Extracted from (Yu et al., 2015)
Case Study 2: Refinement of Care Pathway
This involved carrying out a case study on care pathway refinement. A care pathway defines a
standardized channel which is composed of numerous care stages that are in correspondence
with various conditions of disease progress, in which each of the stages is composed of different
clinical tasks as well as their constraints (Yu et al., 2015). Owing to its strong demands of hoc
variation and flexibility, it is supposed that the hybrid approach would be ideal in modelling the
complex care pathways. This study involved building an initial care pathway manually as a case
model through the use of the workbench. This was a derivative of the clinical guidelines for
congestive heart failure management. The model was then refined for a given patient cohort
pegged on the mined pieces of evidence from the actual electronic medical records.
The engines for process mining offering important proofs that were used for the purposes of
making improvements on the care pathway. An example of such was witnessed in the initial care
pathway that was extracted from the guideline in which some of the constraints outlined that the
baseline tests had to be carried out before the initiation of the process of treatments. Nonetheless,
as illustrated in the figure below, there was detection by the declarative process mining engine
that the treatments were often initiated without carrying out baseline tests in the actual electronic
medical records data. A concrete explanation is offered by clinicians regarding such a violation.

Figure 3: The care pathway model, selected evidences and the synthesis findings: Extracted from
(Yu et al., 2015)
In actual practice, clinicians offered treatments following the ancient medical histories which
might not have been captured in the electronic medical records hence such constraints are not
needed and thus can be assumed in some of the cases. Still, the findings of the care pathways
mined through the process mining strategy were applied. Through the actions of treatment
explained in the initial case model, fragments were chosen manually from the care pathway
model and the likely consequences added into the refined model (Thramboulidis, Vachtsevanou
& Kontou, 2018).
Conclusion
A solution to the acceleration of the creation and evolution of the hybrid process model is
presented in this research paper through a combination of both the imperative and declarative
process mining using event log clustering. The research built up a throughout system called Case
Analytics Workbench in the cloud surrounding to enable subscribers do a check analysis of the
findings as well as elate with the various case models, besides the actual work case studies drawn
from the health care industry and the insurance.
From the perception of design, cloud based architecture attains extendibility and adaptively for
various use case design while for the point of applicability, the real world case studies as well as
their findings made firm effectiveness to experts among them business process administrators,
BPM product developers as well as managers, BPM administrators besides clinical physicians. A
majority of them returned positive results regarding a combination of the wide range of process
mining techniques besides the inclusion of clustering method. They as well unanimously came to
a consensus that the processing of generating and enhancing a business process model ought to
be inclusive of the user interaction as well as the mechanisms of user relation among them
visualization of the results of analytics as well as the design of the model of interaction was
acknowledged by the experts. There are a number of further considerations that should be made
with regard to hybrid process modelling. One of such is owing to the inadequacy of CMMN and
BPMN, there was a clear distinction of the declarative part from the imperative part in the
definition of the case model which turned out to successively work for the case studies. In some

other scenarios, there may be an insignificant distinction between the model elements in which
there were two modelling techniques should be adopted and thus calling for a more flexible
model of hybrid process to be designed.

References
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