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EA artifacts can provide different levels of detail. Descriptions contained in EA artifacts can range in their granularity from very high-level abstractions (e.g. business or IT capabilities, overarching rules, executive-level considerations, etc.) to pretty low-level details (e.g. specific business activities, IT systems, databases, etc.)
Enterprise architecture regards the enterprise as a large and complex system or system of systems. [3] To manage the scale and complexity of this system, an architectural framework provides tools and approaches that help architects abstract from the level of detail at which builders work, to bring enterprise design tasks into focus and produce valuable architecture description documentation.
While business analytics has a more broad focus on the who, what, where and when of business intelligence, behavioral analytics narrows that scope, allowing one to take seemingly unrelated data points in order to extrapolate, predict and determine errors and future trends. It takes a more holistic and human view of data, connecting individual ...
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Enterprise architecture (EA) is a business function concerned with the structures and behaviours of a business, especially business roles and processes that create and use business data. The international definition according to the Federation of Enterprise Architecture Professional Organizations is "a well-defined practice for conducting ...
That year, Fortune Executive Editor Brian O'Keefe sat down with Saban to learn the secrets of the process that made him such a modern titan of the game—and an example to leaders of any organization.
Spanish police on Monday said they had arrested three "extremely dangerous" suspected mafia members wanted in Italy for crimes including attempted murder, weapons trafficking and money laundering.
Then is called a pivotal quantity (or simply a pivot). Pivotal quantities are commonly used for normalization to allow data from different data sets to be compared. It is relatively easy to construct pivots for location and scale parameters: for the former we form differences so that location cancels, for the latter ratios so that scale cancels.