BCO5501: Business Process Engineering Review Essay - BPM Conference

This essay reviews key issues and models discussed at the 11th International Conference on Business Process Management (BPM) held in Beijing, China. The review focuses on the proceedings, examining topics such as process modeling, data, compliance, conformance checking, process mining, and model matching. The essay highlights keynotes, including those on software development team management and the application of intelligent BPM in managing big data. It explores the impact of cloud computing on BPM, discussing its implications for cost, accessibility, and collaboration. The review also delves into process mining techniques, compliance, and the importance of data completeness. The essay concludes by summarizing the critical issues and models presented during the conference, referencing relevant articles to support the analysis.

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Business Process Management
11th International Conference, BPM 2013
Beijing, China, August 2013
Proceedings.
Florian Daniel
Jianmin Wang
Barbara Weber (Eds.)
Student’s name
Student ID
Date

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Introduction
Business process management allows various leaders in organizations to comprehend with
different activities that occur in their business organizations, assess them and improve them on
the ongoing basis (Trkman, 2010). The primary objective of this essay is to review the key issues
and models from the article on the Business process management from the proceedings of the
11th International conference that was held at Beijing in China on 26th -30th of August 2013.
Therefore, the article on review is the Business management process (11th International
Conference, BPM 2013 Beijing, China, August 26-30, 2013 Proceedings). This essay will first
provide the description of the content and the intention of this article. Secondly, give the key
issues discussed by the authors and a conclusion.
The selected article is based on the proceeding of the 11th international conference which was
organized by the University of Tsinghua. The main focus of the article is centered on the process
modeling, process data, the process compliance, conformance checking, process mining, the
process model matching and the keynote invited as well.
The Keynotes
Among the keynotes presented, is the Moneyball for Nano HUB which has dramatically
facilitated in enlighten and to give insight into the success and formation of software
development teams. The most important thing is that software development teams are meant in
selecting the right method of managing the employees (Tiwari and Herstatt, 2011). The
development surroundings with the mismatched techniques are more likely to fail. The theory
was developed to make it clear for the aspects that impact the compositional level of the team
assembly. These aspects overwhelmed the individuals' attributes on the entire team, task,
ecosystem and rational level.
Next, Xiang Gao outlines how the next-generation intelligent Business process management in
the era of managing big data could look like. Currently, the IBM (intelligent Business process
management) is giving an extra intelligent to the most successful business organizations and
providing the operation participants with the real-time awareness in tailoring their responses
appropriately. (Gao, 2013) agrees with Xiang Gao by proving that iBM has taken as an excellent
Business process management technique and has enriched with additional intelligence that

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overwhelm the cloud computing, making the decision in real-time, processing events, and
crosslinking the systems.
According to Gartner, the intelligent Business process management will be able to meet the
following needs. The first need is the process of agility. Secondly, it will be able to leverage the
more significant accessibility of the data from the outside and inside with the organization as an
input when making decisions. Lastly, the iBPM will enable the links and the collaborations
within the different process (Higginson, 2010).
According to Tom Baeyens, there will be a tremendous influence of the clouding computing on
the Business process management. The first impact will be felt by the managers in installing,
hardware and hosting. With the cloud, Business process management services get rid of those
long processes in purchasing BPM. The cloud computing will enable the managers to create the
account without depending on the experts from the Information technology. Hence, registering
with the Business process management cloud computing will lower the threshold to enable the
managers in taking personal decisions. The third impact is linked to the tenants, security, and
firewall in which no document from the Google Drive will be shared with other individuals
without the consent of the company. Therefore, the main benefit is that one can be to access the
document from any part of the world and share it easily. Fourthly, cloud computing services are
appropriate for facilitating the collaboration of B2B. Thus, making it easy to observe when the
way individuals compare a collaborate on the google documents against the next option in
emailing the word documents. With the Business process management services, it very simple
when sharing tasks, cases, and types of the collaborative space with the individuals from various
companies (Higginson, 2010).
The process mining
The other area of attention in the Business process management is the process mining. The
ability of the systems of information is expanding every day. This growth is as a result of the
development of a considerable amount of the data. That means organizations within the changing
business environment should fit their systems to the events at hand within their business models
by making use of the current data. This is respect with the process is a series or the set of code of
actions, data, memory together with other resources which receives inputs and give outputs.
Within this context, process mining is one of the BPM technology that aims in discovering,

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checking, improving and analyzing the processes through extraction of the knowledge from the
data storage like log events. The same is noted from the 11th international conference in which
the idea has triggered the increase of process mining algorithms maturity and a wide range of the
process mining tools which are getting into the markets. The projects involving the process
mining face issues at various levels of the abstractions especially when one is comparing the
events with the modeled activities of businesses. The approaches we have today for events log
abstraction are not able to capture the knowledge needed in fitting the activities within the
industry. Therefore, leading to misinterpretations of the proved process model. This issue led to
the development of a technique whose primary objective is to abstract the levels required by the
business. The tools focus on the knowledge domain which is extracted from the current
documentation process to match activities and the events. Process mining process can now deal
with the relationship between the activities and the facts and support concurrency. The technique
was evaluated with the German information technology outsourcing organization. Thus, showing
the approach operated well within a practical set up and the application of the knowledge domain
is also essential.
According to (Măruşter and Beest, 2009) process mining approach has the ability in discovering
specific process models of a specific event log. In the researcher assessment, a configurable
process model was found from a pool of the event logs. This implied that the business model
should explain not only specific processes but also the variants of the family process. For
instance, when dealing with the house permits from various municipalities, there is a need to
discover a single configurable method that shows commonalities. In this article, four techniques
for constructing configurable process models from a pool of events were compared. Then they
were all applied on real-life and running example collection of the events log. The result showed
that the naïve technique of first discovery of the event models of every event separately in a
given Business process management (Măruşter and Beest, 2009).

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The process compliance
The process compliance is very vital for the organizations in ensuring their business processes
conform to the domain-specific rules and the regulations. With regards to (Lu, Sadiq, and
Governatori, 2008) process compliance is essential for the government legislation and industry
regulations and standards. The consequences of non-compliance could be both long-standing and
catastrophic. Compliance ignorance can as well result to something that can put the organization
at great risk for breaking the laws. The chances are associated with the financial implication and
damaging the company's reputation. Therefore, conforming with the legislation, policies and the
regulations could be challenging, and that means the managers require appropriate techniques in
ensuring the business organization is compliant. This agrees with (Gray, Anand, and Roth, 2015)
in the sense that compliance problems have been outlined for the intra-organizational business
process management. In ensuring the business compliance, with the current standards, laws, and
guidelines, the available proposal has only majored on the intra-organizational setup. The article
has essential steps that enable the compliance of different organizational processes at various
stages like the compliability model. This implies the general capability of the interaction models
doesn't conflict with specific process compliance regulations which are independent. Although,
the comparability cannot guarantee the existence of realizing the complaint of the interaction
models. For example, private and public business process model conform to world compliance
regulations. In general, the comparability model remains vital though not adequate in
precondition thus the partners cannot specify the private and public models.
Process data
In the process data, completeness of the data within the information technology management of
the asset is very essential. However, the process is challenging in different ways. For example, in
case some operations are used in procuring the assets then the organization is required to update
all its sassets. Despite the single consistent process, it must be followed appropriately to prevent
the data gaps. According to (Beach, Pedersen and Collier, 2011) data completeness is as the well
important factor of the quality of any data and has a big range of the influence to the
effectiveness in managing the companies. For instance, audits and statistics can be computed
within the organizations by assuming the data to be analyzed are fully completed. The researcher

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is much interested in assessing completeness of the data provided by the business processes to
examine whether a particular database can be approached full information in the specific state of
the operations. The author has highlighted that the completeness assessment should be able to
consider the processes that manipulate data. The article has explicitly shown how the process
techniques could be annotated with the effect that establishes the data in real-life and impacts the
copying of the data from the real-life into the information systems (Erevelles, Fukawa and
Swayne, 2016).
The process model matching
The primary objective of the process model matching approach is to automatically identify the
activities that correspond between two models of the processes standing for the similar or same
behavior. By doing this, they can offer crucial inputs for the numerous advanced process models'
assessment. Concerning (Recker, 2010) process model matching can as well be described as the
task of establishing correspondences among the activities of the various process models. These
tasks are very essential when comparing and the alignment of the process models. Recently,
some few approaches have been experienced in the process of tackling model matching.
However, assessing the sets of the correspondence provided, a high variability within the
outcomes has been revealed. In the process of addressing these issues, a technique for predicting
how the quality of the results was proposed with the aim of delivering through the process model
matching individuals. Hence, the method contributes significantly to the Business process
management as it helps in making decisions especially when it comes to estimating the level of
trust in automatic matching. The approach can address the problem of variability in the outcome.
This shows how this model could be essential in assigning specific confidence aspect to match
the outcome.
Conclusion
. The principal objective of this essay was to review the key issues and models from the article
on the Business process management from the proceedings of the 11th International conference
that was held at Beijing in China on 26th -30th of August 2013. Among the critical issue
investigated are the keynotes presented in the in the meeting by the various like, Xiang Gao on
the next-generation intelligent Business process management, Tom Baeyens on the clouding
computing and Moneyball for Nano HUB which has dramatically facilitated in enlightening and

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giving insight in the success and formation of software development teams. Differently, models
represented during the conference have also been reviewed in this essay. For instance, the
process mining, process matching model and conformance checking.
References
Erevelles, S., Fukawa, N. and Swayne, L. (2016) ‘Big Data consumer analytics and the
transformation of marketing’, Journal of Business Research. doi: 10.1016/j.jbusres.2015.07.001.
Gao, X. (2013) ‘Towards the next generation intelligent BPM - In the era of big data’, in Lecture
Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and
Lecture Notes in Bioinformatics). doi: 10.1007/978-3-642-40176-3_2.
Higginson, N. (2010) ‘Preparing the next generation for the family business : relational factors
and knowledge transfer in mother-to-daughter succession’, Business. doi: 10.1111/j.1741-
6248.1993.00075.x.
Măruşter, L. and Beest, N. R. T. P. (2009) ‘Redesigning business processes: a methodology
based on simulation and process mining techniques’, Knowledge and Information Systems. doi:
10.1007/s10115-009-0224-0.
Recker, J. (2010) ‘Opportunities and constraints: The current struggle with BPMN’, Business
Process Management Journal. doi: 10.1108/14637151011018001.
Tiwari, R. and Herstatt, C. (2011) Lead Market Factors for Global Innovation: Emerging
Evidence from India, SSRN. doi: 10.2139/ssrn.1811223.
Trkman, P. (2010) ‘The critical success factors of business process management’, International
Journal of Information Management. doi: 10.1016/j.ijinfomgt.2009.07.003.

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References

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