Enterprise architecture (EA) is a well-defined practice for conducting enterprise analysis, design, planning, and implementation, using a comprehensive approach at all times, for the successful development and execution of strategy.

1. Information System
Architecture
Presented By
Suresh Pokharel (074MSCSK015)
M.Sc. in Computer System and Knowledge Engineering
Pulchowk Campus, IOE, TU
Enterprise Architecture

2. Enterprise Architecture
Enterprise architecture (EA) is a well-defined practice for
conducting enterprise analysis, design, planning, and
implementation, using a comprehensive approach at all times, for
the successful development and execution of strategy.
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3. Enterprise Architecture
Enterprise architecture is the organizing logic for business processes and IT infrastructure reflecting the
integration and standardization requirements of the company's operating model.
[MIT Center for Information Systems Research (MIT CISR)]
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4. Information System Architecture (ISA)
The ISA description is a key step in ensuring that IT provides access to data when, where and how is required at business
level. -Spewak in Spewak et. al. (1992)
Enterprise Information Systems (EISs) are the key IT assets for industrial enterprises to organize, plan, schedule, and
control their business processes.
An ISA consists of core telecommunications networks, databases and data warehouses, software, hardware, and
procedures managed by various specialists.
Information Systems Architecture focuses on identifying and defining the applications and data considerations that
support an enterprise's Business Architecture; for example, by defining views that relate to information, knowledge,
application services
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5. Fig. Information System CEO
(Organizational Engineering
Center, Portugal) framework
metamodel (Vasconcelos et
al. 2003)
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6. Benefits of ISA
● IS complexity and interfaces cost reduction (Cook 1996), Spewak et. al. (1992).
● Ensures IS flexible, durable and business oriented (Zijden et. al. 2000) .
● Allows the evolution and introduction of new technologies according to the strategy of the
business plan (Cook 1996), (Spewak et. al. 1992).
● Provides the means for business, IS and IT components alignment (Zijden et. al. 2000) .
● Ensures greater efficiency using IT, namely by providing: a controlled development and
maintenance cost, more application portability, and more flexibility in changing and upgrading
technological components (Open 2003).
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7. Attributes of ISA
The accuracy and suitability of an architecture is analysed considering several quality attributes.
Bass (1998) and Clements (2002) propose the following:
Usability Modifiability
Performance Portability
Reliability Variability
Security Conceptual Integrity
Functionality Building simplicity
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8. ISA - Nepal Government Enterprise Architecture
Information System Architecture
Data Architecture: The objective of creation of the government data architecture is to maintain an adaptable
infrastructure designed to facilitate data access, definition, exchange, management, security & integrity at the
enterprise level.
Data Reference Model: The Data Reference Model (DRM) provides a structure that facilitates the development of
government data that can be effectively shared across govt. organization & unit boundaries for better & effective
government service delivery improve decision-making and improve mission performance.
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9. An example of the above DRM structure from the Nepal GEA perspective considering a specific (IRD) data entities
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10. Data Architecture Principles
● Data is an Asset
● Data is shared
● Data is created, accessible and shareable
● Data has an owner/trustee
● Data has security and permission
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11. Baseline Data Architecture
Data Classification Scheme: capturing the enterprise conceptual data architecture for the Government Enterprise
Architecture (GEA) of Nepal
Logical Data Components: The logical grouping of data components within each subject area provides a boundary
zone that encapsulates related data entities to form a logical grouping. Creation of logical data components groups
data entities into encapsulated modules for governance, security, and deployment purposes.
Conceptual Data Model: The conceptual data model provides a specification of the highest-level data entities that
support Govt. of Nepal business processes and it relevance from data sharing & exchange perspective across the
interoperability framework.
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12. Data Classification Scheme 12

13. Logical Data Components 13

14. Conceptual Data Model
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15. Information Flow Model
● Citizen Centric Services (G2C)
● Business Centric Services (G2B)
● Employee Centric Services (G2E)
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16. References
[1] www.researchgate.net/publication/228949595_Information_System_
Architectures_Representation_Planning_and_Evaluation [Information System Architectures: Representation,
Planning and Evaluation]
[2] https://www.researchgate.net/publication/260542093_Enterprise_ Information
Systems_Architecture-Analysis_and_Evaluation [Enterprise Information Systems Architecture—Analysis and
Evaluation]
[3] http://www.ejise.com/issue/Article=762 [Information System Architecture Metrics: an Enterprise Engineering
Evaluation Approach]
[4] Nepal Government Enterprise Architecture - Main Report
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