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Enterprise Architecture & IT Infrastructure: An Evolving Art and Science to Bridge Business and IT Vision and Reality Minder Chen, Ph.D. CSU Channel Islands.

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Presentation on theme: "Enterprise Architecture & IT Infrastructure: An Evolving Art and Science to Bridge Business and IT Vision and Reality Minder Chen, Ph.D. CSU Channel Islands."— Presentation transcript:

1 Enterprise Architecture & IT Infrastructure: An Evolving Art and Science to Bridge Business and IT Vision and Reality Minder Chen, Ph.D. CSU Channel Islands Martin V. Smith School of Business and Economics Minder.Chen@CSUCI.EDU

2 EA and IT Infrastructure - 2© Minder Chen, 1995-2011 Big Picture Business Strategy Business Processes IT Strategy Business Capabilities IT Solutions Approach: Cost/Value Analysis Focus: Governance Portfolio Architecture Sourcing Need: Resilience, Flexibility, Opportunism Drivers: People, Process, Information, Relationships Focus: “Processized” Analysis – Vocabulary Metrics Context

3 EA and IT Infrastructure - 3© Minder Chen, 1995-2011 BSP: Business Systems Planning Requirements  Acquisition  Stewardship  Disposition Resource Lifecycle Planning Control

4 EA and IT Infrastructure - 4© Minder Chen, 1995-2011 Resource Life Cycle Planning Acquisition Stewardship (Control, Usage) Disposal Summary Data Planning data Transaction data Transaction data

5 EA and IT Infrastructure - 5© Minder Chen, 1995-2011 Four-Stage Life Cycle of Functions to Support Products and Services of an Organization 4-Stage LCPlanning Acquisition StewardshipDisposal Data generated Planning data (Create) Transaction data (Create) Transaction data (R, U) Transaction data (Delete) Material req. planning Procurement Warehousing & inventory control Selling Education Curriculum planning Course sched. & enroll. Performance & grad. checking Student graduation People Human res. planning Recruiting Training Promotion Eval. Retirement Termination Equipment Capacity planning Equipment purchase Maintenance and repair Equipment disposal

6 EA and IT Infrastructure - 6© Minder Chen, 1995-2011 Zackman Framework Source:

7 EA and IT Infrastructure - 7© Minder Chen, 1995-2011 Methodology Lifecycle Source: IBM Component Business Model Via Heap Map

8 EA and IT Infrastructure - 8© Minder Chen, 1995-2011 Component Business Model Dynamic capability Dynamic capability is defined as “the firm’s ability to integrate, build, and reconfigure internal and external competences to address rapidly changing environments”. The basic assumption of the dynamic capabilities framework is that today’s fast changing markets force firms to respond quickly and to be innovative.  Agile, sense and respond, reconfiguration, modularization

9 EA and IT Infrastructure - 9© Minder Chen, 1995-2011 The 5 Dimensions of a Business Component IBM Component Business Model Resource-Based View Daft (1983) says: "...firm resources include all assets, capabilities, organizational processes, firm attributes, information, knowledge, etc; controlled by a firm that enable the firm to conceive of and implement strategies that improve its efficiency and effectiveness.“

10 EA and IT Infrastructure - 10© Minder Chen, 1995-2011 Heat Map

11 EA and IT Infrastructure - 11© Minder Chen, 1995-2011 IT Infrastructure “The hardware, software, and telecommunication/ networking systems or equipment together provide the underlying foundation to support the organization’s goals.”

12 EA and IT Infrastructure - 12© Minder Chen, 1995-2011 IT Infrastructure Cost allocation Source: CISR Working Paper #329

13 EA and IT Infrastructure - 13© Minder Chen, 1995-2011

14 EA and IT Infrastructure - 14© Minder Chen, 1995-2011 Stages in IT Infrastructure Evolution Mainframe/Mini Computers Personal Computer Client/Sever Computing Internet computing/ Web-based enterprise applications Cloud Computing / Mobile computing 60~70s 80s 90s Late 90s~ Mid 2000s~

15 EA and IT Infrastructure - 15© Minder Chen, 1995-2011 Web-based IT Infrastructure HTTP TCP/IP WWW Internet Run dynamic business logic components Software Applications DBMS Browsers User Interface Data Process App.

16 EA and IT Infrastructure - 16© Minder Chen, 1995-2011 Mobile Device

17 EA and IT Infrastructure - 17© Minder Chen, 1995-2011 Mobile Computing Source: 2011/9/28

18 EA and IT Infrastructure - 18© Minder Chen, 1995-2011 Technology drivers of infrastructure evolution Moore’s law and micro-processing power  Computing power doubles every 18 months/2 years  Nanotechnology: May shrink size of transistors to width of several atoms  Contrary factors: Heat dissipation needs, power consumption concerns Law of Mass Digital Storage  The amount of data being stored each year doubles Metcalfe’s Law and network economics  Value or power of a network grows exponentially as a function of the number of network members  As network members increase, more people want to use it (demand for network access increases)

19 EA and IT Infrastructure - 19© Minder Chen, 1995-2011 Advancing Rates of Technology (Silicon, Storage, Telecom) Smaller & faster & cheaper

20 EA and IT Infrastructure - 20© Minder Chen, 1995-2011 Data Volume 2 10 =1028

21 EA and IT Infrastructure - 21© Minder Chen, 1995-2011

22 EA and IT Infrastructure - 22© Minder Chen, 1995-2011 The Internet of Things

23 EA and IT Infrastructure - 23© Minder Chen, 1995-2011

24 EA and IT Infrastructure - 24© Minder Chen, 1995-2011 CPM: cost per thousand page impressions.

25 EA and IT Infrastructure - 25© Minder Chen, 1995-2011 Platform Continuum Bring your own machines, connectivity, software, etc. Complete control Complete responsibility Static capabilities Upfront capital costs for the infrastructure Renting machines, connectivity, software Less control Fewer responsibilities Lower capital costs More flexible Pay for fixed capacity, even if idle Shared, multi-tenant infrastructure Virtualized & dynamic Scalable & available Abstracted from the infrastructure Higher-level services Pay as you go On-Premises Servers Hosted Servers Cloud Platform

26 EA and IT Infrastructure - 26© Minder Chen, 1995-2011 PaaS Software as a service (SaaS) Google AppEngine Amazon's EC2 (Elastic Compute Cloud)

27 EA and IT Infrastructure - 27© Minder Chen, 1995-2011 Definition of Cloud Computing The NIST definition of cloud computing: Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The ability for end users to utilize parts of bulk resources and that these resources.

28 EA and IT Infrastructure - 28© Minder Chen, 1995-2011 Characteristics of Cloud Services NIST identifies several characteristics for a service to be considered “Cloud”: On-demand self-service: The ability for an end user to sign up and receive services without the long delays that have characterized traditional IT. Broad network access: Ability to access the service via standard platforms (desktop, laptop, mobile etc). Resource pooling: Resources are pooled across multiple customers. Rapid elasticity: Capability can scale to cope with demand peaks. Measured Service: Billing is metered and delivered as a utility service can be acquired quickly and easily.

29 EA and IT Infrastructure - 29© Minder Chen, 1995-2011

30 EA and IT Infrastructure - 30© Minder Chen, 1995-2011 Characteristics of Architecture Stages

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