Enterprise Architecture (EA) knowledge refers to the understanding of the organization’s IT infrastructure, applications, and processes in the context of the overall business strategy. Effective EA knowledge can help organizations optimize their IT investments, improve IT agility, and achieve desired business outcomes.
EA knowledge may include:
Effective EA knowledge requires a deep understanding of the organization’s business goals, as well as the IT infrastructure and applications that support these goals. IT executives should ensure that their EA knowledge is well-documented and communicated to relevant stakeholders across the organization.
The Enterprise Architecture (EA) Knowledge category within the CIO Reference Library provides CIOs and other IT executives with a comprehensive set of resources that illustrate effective EA knowledge practices. This category includes a range of resources, such as articles, whitepapers, and case studies, that offer insights into different aspects of EA knowledge, such as understanding business goals, assessing IT infrastructure, evaluating application portfolios, optimizing IT processes, and establishing governance frameworks. By leveraging these resources, CIOs and IT executives can gain a deeper understanding of effective EA knowledge practices and optimize their IT investments to achieve desired business outcomes.
Enterprise Architecture Development Tool-Kit guides in the definition, development, utilization, maintenance, and institutionalization of an enterprise architecture program supported by stakeholders of all levels, from the executive to the user. The Tool-Kit addresses Architecture Governance, Business, Information, Technology and Solution Architectures. (900 pages)
Planning to self-study for the TOGAF 9.1 certification? This comprehensive guide provides a clear roadmap for aspiring enterprise architects. Discover the different certification pathways, how to access the official TOGAF 9.1 framework, and recommended Open Group study guides. We’ve also compiled valuable resources for practice questions and offer essential tips for effective learning, exam preparation, and booking your test. Start your journey to becoming TOGAF certified today!
This example illustrates the use of enterprise architecture planning to create a set of technology standards that set the direction, requirements, and recommendations for all solutions identified, developed and implemented at the organization. (100+ pages)
This paper introduces an IT Architecture Capability Maturity Model (CMM) which provides a framework of key components of an effective IT Architecture process. This CMM presents an evolutionary model to improve IT Architecture process that starts out in an ad hoc state, transforms into an immature process, and then finally becomes a well-defined, disciplined, and mature process.
This detailed framework provides a TOGAF-based structured approach for evaluating the maturity of Enterprise Architecture practices, focusing on process efficiency and documentation quality.
Dive deep into TOGAF, a widely-adopted Enterprise Architecture framework. Understand the structure, benefits, and application of TOGAF to plan, align, and govern your enterprise architecture. Discover how TOGAF can help solve pressing IT challenges and propel business goals.
Discover how IT Governance and a robust Enterprise Architecture serve as crucial prerequisites for the successful implementation of Service Oriented Architecture. This case study dives into the intricate interplay of these aspects and offers valuable insights for strategic IT implementation.
Discover how Enterprise Architecture acts as a strategic pillar for CIOs, aligning IT initiatives with business goals. This guide unveils EA’s role in modern organizations, exploring frameworks and practical applications that foster business agility and efficiency.
This paper discusses an enterprise architecture based framework to identify, measure, improve and maintain strategic business and IT alignment in an enterprise.
This analysis provides key insights into maximizing the capabilities of big data and cloud computing, focusing on innovative approaches like the Cloud Analytics Reference Architecture.
