Issue 1

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Enterprise Data Architecture Trade-Off Analyses

Enterprise Data Architecture Trade-Off Analyses lie in making the right choice of building block components, patterns of organizing these blocks, choosing the way they communicate, the timing of these messages, and the constraints and service levels that they can provide, for the given business problem and with the available resources and budget. It always involves a cost-benefit analysis comparison between the alternate candidate solutions. This article lists the Enterprise Data Architecture building blocks with available options for implementing these components with their relative merits, and help enterprise architects in making those choices. These patterns can also be re-used in other contexts, when similar problems are encountered.

Geographic Information Systems in Public Sector Enterprise Architectures: Issues and Challenges

Geographic information systems (GIS) are widespread at the federal, state and local levels. Data sharing is important because the ultimate power of a GIS is its ability to graphically present layers of data from multiple unrelated disciplines to create new information that allows people to answer questions. GIS have traditionally been built on standalone, stove-piped systems that present considerable difficulties to enterprise architects for several reasons. Although there are standard exchange formats for individual data types, there is a lack of federally-mandated standards for overall GIS data sets. This paper will discuss the efforts and associated challenges at federal, state and local levels to develop and implement GIS enterprise architecture frameworks, standards and enterprise architectures in order to better manage geospatial data. It presents the U.S. Census Bureau as an example of how the federal government is pursuing data sharing efforts with local government agencies, and provides examples of state and local government organizations that are implementing GIS into their enterprise architectures. It also discusses the impact of web technologies on the GIS industry and the differing opinions of the GIS industry on these technologies.

An Information Model for Managed Application Landscape Evolution

Planning, managing, and maintaining the evolution of the application landscape is a focal point of enterprise architecture (EA) management. Whereas, planning the evolution of business support provided by the business applications is understood as one challenge to be addressed in landscape management, another challenge arises in the context of traceability of management decisions. This article discusses the requirements regarding support for landscape management as risen by practitioners from industry, gathered in an extensive survey during which the tool support for EA management was analyzed. Thereby, a lack of support for this management discipline was discovered, which is caused by the way, application landscapes are modeled in tools. We subsequently discuss how to incorporate these requirements into an information model.

Process-Centric Enterprise Architecture

As global competition intensifies in the twenty-first century, companies large and small are struggling to find new sources of competitive advantage. As in the past, companies rely on information technology (IT) as a catalyst, enabler, and component of the new products, services, channels and business models necessary to compete in a global market. In many companies, the practice of Enterprise Architecture (EA) has become the standard to establish a coordinated view of an enterprise’s strategic direction, business services, and effective use of information technologies. However, increasing competitive pressures necessitate even higher levels of business alignment and agility than has been achieved in practice. This is particularly true for small and medium enterprises (SMEs) whose economic success in the global value-chain is highly dependent on their ability to quickly and effectively respond to dynamic market conditions. The integration of key technologies and methodologies, such as service-oriented architecture (SOA), model driven architecture (MDA), business process management (BPM) and internet-based computing, holds real promise to transform how IT delivers value to customers. The emergence and convergence of these technologies will also shape and influence the evolution of the practice of EA. EA frameworks and implementations that focus primarily on data and technology perspectives will evolve to a more process-centric framework to leverage a new class of technologies based on business services. Core to this transformation is the business process management system (BPMS) which will ultimately empower increasingly sophisticated business users to model the enterprise from design through implementation. The payoff is a new level of IT-Business alignment capable of delivering enhanced business agility and flexibility to effectively compete in an increasingly interconnected global value-chain.