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EA Critical Success Factors
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EA Critical Success Factors

This category contains material that discusses the critical success factors for Enterprise Architecture.   The critical success factors for EA include many different types:

  • Best Practices that are common across EA practices of various sizes, industries, maturity levels
  • Organizational Factors that are common in definition, but unique in characteristics within and impact to a specific enterprise
  • Unique Factors that each organization must identify and account for in EA planning and implementation

It is imperative that each organization take the time to evaluate these factors for themselves to make the right decisions regarding their approach to Enterprise Architecture planning, development, implementation and integration.

Material related to this category:


Critical Success Factors for EA Effectiveness 

Enterprise architecture effectiveness is highly susceptible to many factors unique to a particular organization. Highly effective EA programs exhibit many of the same critical success factors. Many of these factors were in their favor from the beginning and maintained as such, while others were assessed as obstacles and overcome as the program grew. By identifying an enterprise’s strengths and weaknesses, the enterprise architect may develop appropriate remedies to make the environment more favorable for EA growth and effectiveness. This article describes many of the most common critical success factors we have seen in effective EA programs. However, by no means should this list be considered exhaustive, as every organization is likely to have some unique characteristics for consideration in influencing EA program effectiveness.
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EA for Everybody! 

EA has always been a polarizing phenomenon and remains so today.  The diversity of opinions on exactly what EA is and how to approach it continues.  While there are many variations, two opposing and deeply entrenched camps dominate.  Despite these differing perspectives, I have rarely found an organization that couldn’t do EA once they get past their biases.  This article highlights the two camps, analyzes complicating issues and offers remedies, and provides suggestions on how most organizations should proceed. 

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