ENTERPRISE PERFORMANCE VERSUS ENTERPRISE INTEGRATION in Visual Studio .NET

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SOE Demand This section describes why a new management paradigm and strategy is needed to improve results from enterprise integration initiatives The concept of service-oriented enterprise (SOE) is rich with substance applicable beyond enterprise integration in that the service-oriented values and optimizing enterprise performance are considered rst When we discussed SOE with the Technical Operations Vice President of the Aerospace Industries Association (AIA), he asked, Is SOE a business or technicaloriented paradigm That is an interesting question because managers and technical professionals often ask this question to determine if and how it ts their viewpoint SOE addresses both business and technical functional requirements in a comprehensive and integrated manner In an article published in Business Integration Journal [18] Hall Bailly, and George outlined the following takeaways 1 Business A stable framework is needed to help enterprise management con gure a collaborative enterprise from independently migrated processes and applications The ability to describe application architecture for EI is essential to the decision process SOE will help in understanding the immediate costs of directed investment in EI and its bene ts in reducing costs for ongoing interface maintenance 2 Technical Without an overarching strategy and associated architecture, many EI activities continue to be ad hoc and, as such, non-predictable and nonrepeatable As a strategic approach to EI, SOE blends structural elements in harmony with three software engineering disciplines The objective is to achieve the optimum balance between attention to the elements and application of SOE disciplines We wanted to present evidence demonstrating the need for a new paradigm and strategy Software vendors such as Metamatrix offered a commercial example, but we needed an objective third-party source From a government perspective, the General Accounting Of ce (GAO) reported that program and project managers need more disciplined processes to reduce risks associated with enterprise integration and systems engineering There is too much rework needed to stabilize applications after deployment Pressure to get systems implemented quickly has shortchanged investment in information engineering to get them right Our view is that more investment upfront will deliver high reward downstream This begins with smart data strategy and adoption of supporting values and principles Another aspect of the demand for SOE is from continuing to support the value for information sharing Former Defense Deputy Under Secretary of Materiel Readiness, Dave Pauling, advanced the idea that improving operational performance is realized through improved planning, sense making, and decision making that is currently too disjointed and costly to maintain Information interoperability de ciencies are the cause Correcting the cause eliminates proliferation of de ciencies while maximizing the distribution of bene ts
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CONTEXT: THE CASE AND PLACE FOR SMART DATA STRATEGY
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13 CURRENT PROBLEMS AND DEFICIENCIES FROM POOR DATA STRATEGY Current problems and de ciencies from poor data strategy must be addressed in the context of enterprise resource management and the SOE paradigm Enterprise resources are constrained and demand for change and improvement often outstrips available resources Here are some considerations that we imposed in constructing the SOE paradigm:
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Enterprise scope and context Acknowledging that resources are insuf cient to replace the magnitude of legacy systems Necessity to keep pace with advancing technology Necessity to deliver signi cant improvement from constrained investment Make application least invasive while delivering immediate tangible bene t
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Therefore we concluded that a new strategy is needed based on addressing the need for information interoperability All enterprise environments operate under resource constraints that manifest as shortages of capital, and shortages of scarce talent and materials, for instance Demand for improvement and change nearly always outstrips an enterprise s capacity for making change and improvement Different things, often working in combination, create demand for improvement Demand for improvement and change is different for government and commercial enterprise While some things are the same, others are the opposite Government enterprise is about the business of maximizing citizen services Commercial enterprise is about the business of maximizing return to shareholders When the government is the customer of commercial enterprise, government negotiates for the best value, while business negotiates for the best margin Buyers and sellers need one another and in a competitive marketplace, agreeable parties will connect Correct classi cations are essential to this process In an environment in which resource constraints manifest themselves as capital shortages, cost containment is a major concern to the SOE Not only are correct classi cations of costs important in a smart data SOE scenario, but understanding misclassi cations merit a closer inspection as well Smart data can be utilized, in a combination with arti cial intelligence methods, to shed light on cost classi cation within the SOE For example, a misclassi cation cost matrix can be incorporated into nonlinear neural-evolutionary and genetic programming-based classi cation systems for bankruptcy prediction This smart data SOE approach, properly implemented, could have helped to prevent and predict the 2008 Wall Street collapse, if implemented in a smart data paradigm Remember that smart data provides the following bene ts: enterprise performance enhancement, end-to-end process optimization, and continuous optimization Smart data also leads to better enterprise decision making timelier, more responsive, and
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