Intelligent Enterprise Design Report

This report examines the potential of Intelligent Enterprise Design and Enterprise Information Architecture Reference Architecture for the Australian Federal Government's E-government transformation. It highlights the benefits of these approaches, including improved service delivery, enhanced transparency, and efficient resource allocation. The report also provides recommendations for successful implementation.

AUSTRALIAN FEDERAL
GOVERNMENT

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................1
2.0 Intelligent enterprise design..................................................................................................1
2.1 Function 1.............................................................................................................................2
2.2 Function 2.............................................................................................................................2
3.0 Enterprise Information Architecture Reference Architecture...............................................3
RECOMMENDATIONS................................................................................................................6
CONCLUSION ...............................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Data integration engages to combine data through numerous disparate sources which are
directly stores with application of technologies and offering unified aspect of data. The present
report is for Australian Federal government which be providing brief discussion of Intelligent
enterprise action and Enterprise information Architecture reference architecture. In the similar
aspect, it will be discussing business vision for future intelligent E-Government system with
benefits evolving through Historical reporting anticipating and shape. Moreover, benefits of
enterprise information architecture reference architecture's benefit will be discussed to
development of E-government system with its advantages.
2.0 Intelligent enterprise design
The intelligent enterprise is about data challenges which are controlled , enterprises could
directly evolve through traditional reporting to advanced predictive analytics. It is a method to
predict and lead in market via digital realization, activating innovation and insight and empowers
business process agility (Enterprise architecture as platform for connected government, 2018).
It is one of the marshals intelligent applications of business to use intelligence and data for
capturing innovative opportunities of business and enabling better decisions at organizational
levels. It integrates with broader cloud platform which comprises core enterprises process roles
along with new technologies. The enablers of key business of application of intelligent business
connecting systems of solutions and intelligence developed through industry relevance and
insight for differentiation. As a outcome, it is more probable for realizing objectives of business,
simplifying process of business for empowering employees and improving customer experience
and innovate with insight of industry on basis of intelligence by both machines and peoples. The
three aspects such as digital realization, insight and innovation and business process agility are
differentiating business results of Intelligent enterprises.
The Intelligent enterprise is dependent on technology as it has need of appropriate skills,
tools and culture within organization and right partnerships beyond this (Tsekeridou and et.al.,
2019). The application of smart technologies has need of workforces which is trained and
motivated for implicating them. Simultaneously, business process agility simplifies business
process and delivering eye toward requirements of industry specific, cultural and insight
alignment. Lastly, the insight and innovation helps in forecasting and leading market is
replicated as key inspiration for business leaders with absence of these, it would react or be
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proactive at its best. The information layer is focus of intelligence enterprise design as Australian
government could use intelligent systems for effective E-government (Liu and et.al., 2019). The
transformation initiative of E-government are happening throughout the world as high amount of
money has been spent for fixing data collection system of government, establishing internet
portals and moving to electronic forms with availability of 24 hours.
There are numerous countries which have performed experiment with intelligent
technologies which goes beyond simple digitalization. The areas it comprises are answering
questions, determining, locating, sear and filing documents, routing requests and document to the
best agency, translate documents and last is help draft documents.
2.1 Function 1
On basis of admirable outcomes and reflected technology advancement which helps in
enabling transformation, improving service and augment security. The key for success has been
not initiated with technology but with beginning of end users along with existing systems which
are not attaining their requirements. For purpose of building effective e-government model is in
need about initiative of transformation which specify both policy and operational governance.
The policy governance directly incorporates information into expectations that government have
with context of agencies and conversely, agencies have for their workers. It is replicated as
source of performance metrics and develops accountability for every step of interaction of citizen
with each agency that rely for services (Jenab and et.al., 2019). Simultaneously, operational
governance initiates through examining the experience of citizen for understanding that which
services must be prioritized where break down of existing process along with true source of
failures. The model of operational governance solicits feedback of citizens, aggregating and
collecting it in accessible and standardized formats which assess continually about needs of
citizens from particular service, where present system fails them instead of assumed sources of
particular failures.
The formulation of single set of standards by government to establish information system
and developing a catalogue of public data which determines that what information is going to be
collected and reflects which department or ministry gather and maintain every data set.
2.2 Function 2
The other function of strategic approach to e-government. Ultimate transformation of
intelligent-government is for understanding the necessities of working in well coordinated
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platform layers. In the same series, cross government platform for purpose on consistent
information and apart from this digital services are built is a compelling target for numerous
commercial companies (Androutsopoulou and et.al., 2019). Moreover, similar platform could be
stated as basis to give data for many innovates cases which consists of applications of artificial
intelligence and reduces required time for accessing and managing data.
Simultaneously, designing integration of government system in terms of layer is
considered as core to capability for maintaining it over long run and keeping risks and costs
under control. It is highly essential for knowing method to design back end database systems
which gives support front end and middle tier client application which is standardized flexible,
federated and secured enough for high reuse of component.
3.0 Enterprise Information Architecture Reference Architecture
The enterprise architecture is considered as inherent design and approach of management
which is mandatory for organizational coherence leading to agility, assurance and alignment.
Generally, it is used for purpose of implementing and planning effective and efficient
transformation efforts. The strongest driver for Enterprise architecture is for improving overall
performance and service delivery within business segments of organization. The principal issue
faced through chief architects is for instituting a program of EA which enables to coordinate the
sustainable alteration throughout the enterprise and mentoring particular transformation planning
which is required for supporting the mission (Yoon and et.al., 2019). This is robust planning
function which helps business strategies for turning into operational reality. The establishment of
standard methodology to conduct architecture planning and implementation is vital. This has
been assumed for following strategy of organization and for aligning IT with objectives of
business, increasingly with evidence of reverse is surfacing. In simpler terms, strategies of
organization are influenced through capabilities of IT.
Most of the governments worldwide are at midst of substantial public sector activities of
transformation. The majority of initiatives are directly triggered through need for having
seamless and better government services which are delivered online. This helps in laying
emphasis on automating services of government which are often largely limited to particular
ministries along with agencies. On the contrary, these initiative lack agency or cross ministry and
coordination. It creates issues in undertaking the approach of whole of government with
concomitant benefits as it is more than benefits derived through extracting agency centric
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viewpoints. These shortcomings are clearly evident in findings of UN global E-government
survey 2010 (Lnenicka and Komarkova, 2019). The importance of e-government would be
increasingly defined through the contribution for national development.
The lack of coherent strategy is directly cited as initial reason for e-government's
underdevelopment. In the coming era, more and more countries are adopting strategies of
national e-government along with multi year action plans and it is strategy where government id
increasingly looking toward. The connected government enables government for connecting
seamlessly across agencies, functions along with jurisdiction for delivering efficient and
effective services to business and citizens. This utilizes technology as strategic tool and enabler
for purpose of productive growth and enabler for innovation to public service, the tow key results
as being productive and innovation. In the similar aspect, this also leads to citizen centricity
where this government approach service delivery is in need of countries for shifting through
model of offering government services through traditional ways for integrating different
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electronic models where values to citizens and business get enhanced. This can actually improve
quality and rate of public service delivery during economic crisis.
IT enabled connected government, where e-services are very important component and
gives numerous benefits to provider agencies and government such as avoidance of duplication.
This helps in determining and decreasing duplicate capabilities and system, where various
department have their own system which gives similar functions. This address re-usability
aspects i.e. enforce Enterprise information architecture which shares and reuse the information
assets and decreases development, support and service cost. Simultaneously, this enhances
transparency as information is independent through application specifications, implementation
along with user interfaces (Prasetyo and Gumilang, 2019). This offers transparency layer among
information and domains application. Moreover, there is consideration of enterprise business
requirements as architecture account overall requirements of information of whole particular
LOBs or government agencies. This will avoid inconsistencies as initial, this will determine
conflicts, overlaps and aps in information and data and offering of framework, concept and
methods for resolving it as useful for choosing adequate solutions.
The most important is that, this enables very efficient and consistent IT decision making
is associated to business or government need. It does this because of presence of extensible and
flexible. In the similar context, information reference model gives description of scope of used
data and information supported through EIA. It elaborates technology strategy where framework
is established on which technologies strategies are adopted through enterprise depend. In
addition to this, it defines set of principles which guide about information system of government
and technology infrastructure are engineered (Mario Godinez and et.al., 2019). Furthermore, its
gives benefit as simplified bureaucratic procedure, high efficiency, richer coordination and
communication, secure information management and greater sharing of information. It ensures
technology investment decisions which are aligned with need of stakeholders so that it could be
fully utilized. It helps to avoid wasting time along with budget solutions which are not aligned
through strategic objectives.
The government transformation is endeavour of long term perspective which is seldom
affected through technology trends of short term perspective. The transition for connected
government, every government traverse via primary stages of e-government capability and
maturity, every stages reflects a progressive at high level in continuum of government
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transformation. The stages are web presence, interaction, transaction and transformation. The
connected government is replicated as desire state of countries which directly strive for attaining
part of level of transformation of maturity of e-government. There is absence of straightforward
mode to describe connected government along with implication of countries.
Furthermore, the reference architecture offers proven template for architecture for
specific domain. It determines major building blocks and foundational components and offers
framework for architecture design . In the similar aspect, this incorporates best practices and
offers a common vocabulary for enabling a common understanding and lastly, improvisation of
efficiency , consistency and repeatability of solution architecture. This facilitates assessment of
packaged applications for best fit and eases integration of data of acquired companies into
system environment. It facilitates development of common language among different lines of
business due to development of models.
RECOMMENDATIONS
 It has been recommended that initiate with user experience and work backwards rather
than starting by transforming every data.
 There should be careful analysis of end to end process to determine fair root causes of
end user pain points as this is process itself (From Digital Government To Intelligent
Government, 2019).
 The design systems must be continually track the evolving need and establishing
mechanisms of feedback which adjust requirements and priorities which always alter
over time.
CONCLUSION
From the above report, it had been concluded that Australian government could use both
intelligent enterprise design and enterprise Information Architecture Reference Architecture to
effective design E-government for attaining success. It has shown that, it attracts and determine
new customers and market respectively and develop new services and products. In the same
series, this leads to optimise resource allocation and deployment, proactive risk management,
predict and determine risk and decrease vulnerability. Moreover, on basis of information
architecture this helps in determining components which are information centric of IT
environment and states relationship to their objectives. Thus, EIA RA is helps in improving
efficiency and consistency of solution architecture.
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REFERENCES
Books and Journals
Androutsopoulou, A. and et.al., 2019. Transforming the communication between citizens and
government through ai-guided chatbots. Government Information Quarterly. 36(2).
pp.358-367.
Jenab, K. and et.al., 2019. Company performance improvement by quality based intelligent-
ERP. Decision Science Letters. 8(2). pp.151-162.
Liu, X. and et.al., 2019. Intelligent design based on holographic model using parametric design
method. Journal of Ambient Intelligence and Humanized Computing. 10(3). pp.1241-1255.
Lnenicka, M. and Komarkova, J., 2019. Developing a government enterprise architecture
framework to support the requirements of big and open linked data with the use of cloud
computing. International Journal of Information Management. 46. pp.124-141.
Prasetyo, H. N. and Gumilang, S. F. S., 2019. Data Governance Strategy for E-Government in
Bandung District Governments. International Journal of Engineering &
Technology. 8(1.9). pp.254-258.
Tsekeridou, S. and et.al., 2019. A Crowd-Sourced Intelligent Information Management and
Decision Support System Enabling Diverse E-Government G2C2G Services. In Third
International Congress on Information and Communication Technology (pp. 687-705).
Springer, Singapore.
Yoon, S. and et.al., 2019. Smart Factory Information Service Bus (SIBUS) for manufacturing
application: requirement, architecture and implementation. Journal of Intelligent
Manufacturing. 30(1). pp.363-382.
Online
Enterprise architecture as platform for connected government. 2018. [Online]. Available
through
<http://unpan1.un.org/intradoc/groups/public/documents/unpan/unpan041801.pdf>.
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From Digital Government To Intelligent Government. 2019. [Online]. Available through
<https://www.digitalistmag.com/digital-economy/2018/10/24/from-digital-government-to-
intelligent-government-06191223>.
Mario Godinez, and et.al., 2019. The Art of Enterprise Information Architecture: A Conceptual
and Logical View. [Online]. Available through
<http://www.informit.com/articles/article.aspx?p=1596524>.
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