E-Governing System Architecture in the Australian Context

This report provides an analysis of the e-governing system in Australia, focusing on the implementation of intelligent enterprise design and Enterprise Information Architecture Reference Architecture (EIARA). It examines the benefits of these architectures for the Australian Federal Government, including improved service delivery, economic advantages through next-generation technologies, and enhanced user experiences. The report explores the functions within intelligent enterprise design, such as information sources and performance/risks, and discusses the EIARA's role in cost-effective data sharing and organizational efficiency. Furthermore, it highlights the models that amplify the service infrastructure, providing a comprehensive overview of the e-governing system's development within the Australian context.

Running head: E-GOVERNING SYSTEM OF AUSTRALIA
E-GOVERNING SYSTEM OF AUSTRALIA
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E-GOVERNING SYSTEM OF AUSTRALIA
Executive Summary
The main aspect of this report is to deal with the overall implemented architectures
regarding the development of the e-governing systems of Australia. This architectures are
implemented within the organizational framework to provide enhanced as well as effective
services to the citizens of Australia. This report will put a clear reflection of the two
architectural models that will amplify the business architectures of the organizations as well
as maintain the user satisfaction by the help of this services. Moreover the benefits that the
organization can achieve is duly stated within this report which will tend to provide an
enhanced study in regards to the service framework of the e-governing systems of Australia.
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Table of Figures
Figure 1: Data Assets of EIA RA..........................................................................................3
Figure 2: Conceptual Model Framework............................................................................5
Figure 3: Logical Model Framework...................................................................................6
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Table of Contents
1.0 Introduction..........................................................................................................................1
2.0 Intelligent Enterprise Design.................................................................................................1
2.1 Function 1: Information Sources......................................................................................2
2.2 Function 2: Performance and Risks..................................................................................3
3.0 Enterprise Information Architecture Reference Architecture..............................................3
4.0 Conclusion.............................................................................................................................7
5.0 References............................................................................................................................8
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1.0 Introduction
The focus of this report is to put a preliminary analysis of the two stated
infrastructure designs that are believed to be beneficial regarding the Australian federal
Government. This analysis is carried out for the development of the e-government systems
within the environment of the Government of Australia. The government of Australia is
depicted as a global leader regarding the digitization of the services that are provided by the
government. These services continuously innovates as well as delivers enhanced services to
citizens of Australia.
However, it is observed now that the digital services has fallen back regarding the
integrated approaches adhered by them. In this context, the various departments within the
government of Australia has reached to a decision for the implementation of the two
innovative design architectures that tends to provide enhanced benefits to the organization
as well as the citizens involved with the organization (Grant and Drew, 2017). This report
will provide a critical assessment on the two design architectures incorporating their
benefits as well as the implemented methodology regarding the development of these two
design architectures. The development of the national e-governing system within the
environment of the Australia will be discussed in this report along with the two proposed
models regarding this development.
2.0 Intelligent Enterprise Design
The continuous change in the growth of the information systems tends to enhance
the usage of the different services provided in the internet platform to the users. Moreover,
the enhancement in the algorithms continues to change the way of the providing services as
well as using the services from the user point of view. However, in the context of the
Australian e-governing system it is observed that there is a seamless transformation within
the environment of the Australian Government (Chorafas, 2016). This seamless
transformation leads to the serious time consumption of the services that are related to the
government of Australia. Henceforth, the Australian Federal Government tends to
implement the intelligent enterprise design architecture, for the enhancement of providing
significant services to the citizens of Australia. The primary reasons that are focused by the
Government officials are stated below:
 The work, which is to be done, should be carried out in a priority basis.
 To make effective recommendations so that the problems could be mitigated.
 There must be an automation procedure for handling the repetitive as well as
simpler tasks.
 The significant understanding of the patterns as well as insights, so that the right
decision could be adhered in right time.
The intelligent enterprise design tends to empower the overall designing and service
structures by the usage of the machine learning technologies (Vargas
et al., 2016). The
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primary observations due to which the government of Australia needs to implement the
intelligent enterprise design are stated as follows:
 The inadequate presence of skills, focus as well as tools within the organization that
may lead to certain gaps within the facilities or services provided to the organization.
 The complexity within the processes of the Australian Federal Government.
 The lack of insight within the business structure that are required for the innovation
of the services provided to the users.
To cope with the above stated potential vulnerabilities within the environment of the
Australian Federal Government the organization tends to implement the intelligent
enterprise architecture that might be proved very beneficial regarding the service-providing
field of the organization towards its employees (Srinivasan, 2016). Moreover, the prime
benefits for which the Government of Australia must use this design architecture is provided
below.
 The computing facilities of various sections of the Government will be provided in an
enhanced manner to the overall citizens of Australia. This can be provided by the
implementation of the innovated technologies within the environment of the
Australian Federal Government.
 The economy that will be generated by this implementation will be enhanced by the
next generation technologies that are adhered by the intelligent design systems of
the Australian e-governing systems.
 The most significant improvement that will be adhered are stated to be the fact that
the challenges regarding the innovation of business will be different from the
previous one (Takeuchi and Yamamoto, 2019). The future challenges will be very
easy to identify as well as mitigating them will be very easier for the effective growth
of the organization.
 The importance of the implementation also lies in the fact that the users associated
with the e-governing systems of Australia are facilitated highly by it (Qumar, 2015).
The users can access the services from anywhere as well as apply for the availability
of the services from any device by just logging in with their registered user name as
well as password.
Moreover, in addition to this it can be depicted that the implementation goes through
different phases of evolution that are likely to be historical reporting, sensing and
responding as well as anticipate and shape (Zimmermann
et al., 2015). These phases of
evolution depends on the focus areas in relation to the implementation of the intelligent
enterprise systems. In this next section, the two most significant focus areas with respect to
the intelligent enterprise architecture will be discussed.
2.1 Function 1: Information Sources
The first focus area that is taken into consideration is stated as information sources
of the various services present within the environment of the intelligent enterprise design
architecture as it is imposed for the development of the e-governing systems of Australia.
The aspect of historical reporting regarding this focus area is stated as the fact that the
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collection of the information is done from the internal systems of transactions that are
present within the environment of the organization (Barros, 2016). Moreover, it can be
simplified and depicted, as the internal resources are only used for the collection of the
information that is required for the proper execution off the overall business procedures.
The sense and respond evolution phase regarding the information sources are mainly stated
as the collection of the information in certain events and then the information are
integrated for the collection from the planning phase as well as the external data service
providers. In addition to this, according to the last phase of the evolution the sources of
information is depicted as a data that can act. This data can be analysed as well as collected
from various sources regarding the proper structuring as well as instrumentation of the data
that are collected form the sources (Lapalme
et al., 2016). Thus, it can be well stated that
the information sources is one of the important focus area that tends to drive the success of
the e-governing systems within the Government of Australia.
2.2 Function 2: Performance and Risks
The second most significant focus area that is important in terms of the
implementation of the intelligent enterprise architecture within the environment of the
government of Australia is stated as people or the user that avails the facilities that are
provided by the e-governing systems. The aspect of historical reporting regarding this focus
area incorporates the time, which is required to pursuit as well as resolve the collected data
(Safari, Faraji and Majidian, 2016). The time spend to collect actual information from the
individuals regarding the usage of the information is depicted as the prime aspect of the
historical reporting part. Moreover the sensing as well as responding aspect may be stated
as the time that is required for providing response to the user gradually as the events occur
with due time. Moreover, the last phase of evolution regarding the focus area is depicted as
the focus regarding the planning as well as innovation implementation regarding the
successful implication of the intelligent enterprise architecture within the e-governing
system of Australia. Thus, it can be said that this focus area is said to be a significant
platform regarding the implementation of the intelligent enterprise architecture within the
environment of the e-governing systems of Australia (Korhonen and Halén, 2017). The
people or the end user associated with the services that are to be provided to them from
the Australian Government is one of the most significant focus area for the implementation
of the system.
3.0 Enterprise Information Architecture Reference Architecture
The EIARA is depicted as the premium component regarding the architecture of an
enterprise that are trying to implement the e-governing system within the environment of
the Australian Federal Government (Gorkhali and Xu, 2017). This framework enhances the
cost effective sharing of data regarding the various organizational units that provides
efficient security as well as privacy to the overall system of the information architecture
within the environment of the Australian Federal Government. This architecture tends to
provide an effective framework, which will be very cost effective when the data is being
shared across the various department within the e- governing systems of Australia. Since
this structure provides effective assessment of organizational redundancy as well as process
redundancy regarding the development and design of the overall framework within the
environment of the e-governing systems of Australia (Liu and Jiang, 2016). The EIARA
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framework mainly consists of three sub architectures that are likely to be business
architecture, organization architecture and technical architecture.
The facilities or the advantages that the Australian Federal Government will face
regarding the usage of the EIARA for the development of the e-governing systems are stated
in the following section. Firstly, this architecture tends to provide a great level of
understanding regarding the overall business framework by undertaking some structural
models will amplify the business usage by the organization as well as the user that are
facilitated by the e-governing systems of Australia (Rouhani
et al., 2015). These models
provides benefits with the present data sets as well as plans for the implicated benefits for
the maintenance of the integrated structure sets. Moreover, another great benefit that will
be provided by the implementation of this architecture within the environment of the e-
governing systems of Australia is depicted as the easy integration methodology of the new
enhanced data within the present system that can be effective for the organization to map
the important data with the help of data models, thus not using complex data structures.
Henceforth, this allows the data validation for the overall applications that are required by
the company (Zimmermann
et al., 2015). This architecture provides new resources for
accessing the data sets quickly within the environment of the e-governing systems of
Australia.
Various models are stated to facilitate the environment of the e-governing systems
of Australia. The two of the significant models that tends to amplify the service
infrastructure of the overall system is stated as follows.
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Conceptual Model Framework:
Figure 2: Conceptual Model Framework
(Source: Created by Author)
This model intends to put focus on the five critical areas within the e-governing system of
Australia that are likely to be the business architecture framework, the information
architecture framework, the information system architecture, the data architecture and the
delivery system architecture.Logical Model Framework:
The next model that is undertaken in this report which tends to enhance the services of the
e-governing systems of Australia is depicted as the Logical Model Framework. This
framework deals with an overview of the overall aspects of the organization as well as the
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user which will be facilitated by the organizational services. The model is provide with teh
help of a figure below:
Figure 3: Logical Model Framework
(Source: Created by Author)
The above framework states the various aspects of the Logical Model Framework.
These aspects can be duly categorized in the following sectors. These are Channel Access,
Presentation, Composition, Integration, Application, Data, Compliance and Security and IT
Governance. These stated layers provides the data as well as service flow of the
organization within the Government of Australia’s e-governing system (Sugumaran, 2017).
Thus, it can be depicted that the usage of these above two models can be adhered by the
Government of Australia while it tends to implement the e-governing systems within their
framework. These models will amplify the usage of the services by the citizens of the
country as well as it will be an ease of access to the overall organizational sections that are
connected with the Australian Federal Government.
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4.0 Conclusion
Thus, the above provided overall study of the two architectural frameworks can be
depicted as one of the most important methodologies that can help the facilities of the
organization to be provided with the ease of access to the different users present in
different location. With this frameworks being implemented within the environment of the
e-governing systems of Australia promises to provide better user access as well as also
provide quick consumer response from the organization itself. Thus, it can be concluded
that the organization will be very beneficial in providing services to the users and henceforth
can gain a level of trust by maintaining user satisfaction by the usage of this architectures.
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5.0 References
Barros, O., 2016. Intelligent Enterprise Architectures in Service Business Engineering.
Chorafas, D.N., 2016.
Enterprise architecture and new generation information systems. CRC
Press.
Gorkhali, A. and Xu, L.D., 2017. Enterprise architecture: a literature review.
Journal of
Industrial Integration and Management,
2(02), p.1750009.
Grant, B. and Drew, J., 2017. Local Government in Australia.
History, Theory and Public
Policy. Singapore: Springer.
Korhonen, J.J. and Halén, M., 2017, July. Enterprise architecture for digital transformation.
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2017 IEEE 19th Conference on Business Informatics (CBI) (Vol. 1, pp. 349-358). IEEE.
Lapalme, J., Gerber, A., Van der Merwe, A., Zachman, J., De Vries, M. and Hinkelmann, K.,
2016. Exploring the future of enterprise architecture: A Zachman perspective.
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Industry,
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Liu, C. and Jiang, P., 2016. A cyber-physical system architecture in shop floor for intelligent
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Qumar, G.A., 2015.
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Safari, H., Faraji, Z. and Majidian, S., 2016. Identifying and evaluating enterprise architecture
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Srinivasan, V., 2016.
The intelligent enterprise in the era of big data. John Wiley & Sons.
Sugumaran, V. ed., 2017.
Developments and Trends in Intelligent Technologies and Smart
Systems. IGI Global.
Takeuchi, H. and Yamamoto, S., 2019. Business AI Alignment Modeling Based on Enterprise
Architecture. In
Intelligent Decision Technologies 2019 (pp. 155-165). Springer, Singapore.
Vargas, A., Cuenca, L., Boza, A., Sacala, I. and Moisescu, M., 2016. Towards the development
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IEEE 19th International Enterprise Distributed Object Computing Workshop (pp. 130-138).
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