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Enterprise Architecture Management - Science topic

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Is Zachman Framework Still applicable for huge kind of enterprise architecture? 
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It is noteworthy not many have since posted Zachman implementation since the question was first posted
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Much of what I see in large diversified corporate institutions is the application of EA principles and frameworks, without an underlying mechanism to measure or substantiate through research that EA techniques provide value. The value, could be the result of a hidden value chain (systems thinking), or discrete units of measure (defect reduction or financial indicators such as cost avoided), or perhaps social-cultural through the alignment of individual objectives with that of the enterprise. On the whole, a general lack of research basis seems to exist in the EA value measurement facet, but admittedly my own biases cloud my field of view - which is best remedied by the input of others who see EA differently and perhaps suggest research areas that could support or dismiss EA's core value propositions.
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My own contribution was a recent conference paper
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I am researching the usability and complete Business Intelligence Solution. From my view easy to use and complete solution from data warehousing until business analytic. I've been trying sap business one, oracle business suite and openerp. But still another input which one the best? Any other BI solution software that you have experience before? Is there any variable I should added on my usability and completeness BI research?
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Usability is defined in ISO 9241-11 standard fitness-for-use in specific context. Therefore you need to identify contexts that you interested in measuring the usability. Context is defined in the ISO: User, Tool, Task, Environment.
According to Forrester Research, Business Intelligence is often defined in two ways - broad and narrow. The broad category includes topics like DW, MDM, Predictive analytics, Data Quality. The narrow definition means BI-suites as traditional reporting platforms. I assume you are focusing on narrow BI-reporting platforms.
Considering your topic and interest, you should combine ISO and BI issues.
Users: BI-admin, BI-developer, BI-Power user, BI-consumer. Each technology provider has a slightly varied version of these user groups. All user groups have one or more tools that are developed for their tasks.
Tools: Admin Module, web-tools, client-tools, graphical client-tools, mobile tools etc. The same functionality can be provided with different technological tools at the same time. For example SAP BO has had their ad hoc-reporting tool (WebI) as a rich client and web-version with nearly identical functionality. On the other hand, KPIs might have been constructed with WebI or XCelsius dashboards, although they are completely different in their usability and technical flexibility. There can be several tools for one activity but also one activity can be done with many alternative tools. Also in a single BI platform.
Tasks: Administrating, data gathering (building semantic layers, ad hoc-ETL), data manipulation (build reports, explore data sets, create KPIs, statistics), data publishing (static reports, drill-in reports, KPIs, graphics). There is huge difference how easily each task can be done and how significant limitations each tool has. One tool might be really easy to start with but soon you end up in significant restrictions. You simply cannot do something, although BI suite seems to have a tool for it. Or doing something requires massive efforts and becomes very risky network of human errors and technological workarounds.
Environment: Desktop in office, mobile out-of-office, offline in wilderness, cloud-based multi-context use. Again, the same task can be done in various environments with different tools. Mobile tablet can be used to build a new report or you can analyze millions of rows data completely offline in wilderness.
Each BI suite varies a lot in their usability and completeness even in this quite general level.
In conclusion.
You can not compare SAP Business One or OBIEE unless you define and decide more general use cases and frameworks. What you are actually evaluating. You need generalized categories that can be used limit your evaluation:
a) user types and their needs,
b) tool types and their required features
c) task types and their aims
d) environments.
Then you need to develop tests for each category. Then you need to perform the test to measure whether tools pass them or how they pass. In fact, a lot of tasks can be done with all major BI suites - it just depends how these are done and by which tool. And what kind of restrictions you might end up having problems with.
For example, SAP BO or Microstrategy are really easy to use on top of semantic layer. However, building the layer requires significant work and understanding. To accomplish something you might need to redefine semantic layer or even data warehouse. Also each BI suite has probably several tools for each task. They vary according to easy-of-startup but also flexibility-in-the-end.
I would say that there is no such thing as and you will not find "the best" or "the most complete" BI Suite. It depends on what you are trying to do and what you want to include in your comparison. Each BI suite has own advantages and specific limitations.
Some interesting more theoretical discussion references for BI-research.
Hsinchun, Chen. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, Vol. 36. PP.1165-1188
Watson, H (2007) The current state of business intelligence, Computer.
Surajit Chaudhuri, Umeshwar Dayal, Vivek R. Narasayya: An overview of business intelligence technology. Commun. ACM 54(8): 88-98 (2011).
For empirical real BI-case research check for example BISE Journal by AIS library or Springer library.
BI Suites are evaluated yearly by Gartners Magic Quadrants for Business Intelligence Platforms and Forrester Research (Wave Reports?) about Enterprise Business Intelligence Platforms. Both reports have a huge lists of BI Suites and even larger llists of technologies that they have been following, but did not perform full-scale evaluation.