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The Department of Defense Architecture Framework (DoDAF) defines a standard way to organize a systems architecture into complementary and consistent views. It is especially suited to large systems with complex integration and interoperability challenges, and is apparently unique in its use of "operational views" detailing the external customer's operating domain in which the developing system ...
Business process improvement in that its goal is to improve and streamline actions and decisions in furtherance of business goals; Data visualization in that it uses well-established theories of visualization to add or highlight meaning or importance in data presentation. Digital humanities explores more nuanced ways of visualising complex data.
An issue map aims to comprehensively diagram the rhetorical structure of a conversation (or a series of conversations) as seen by the participants in the conversation, as opposed to an ideal conceptual structure such as, for example, a causal loop diagram, flowchart, or structure chart. [2]: 264
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
DoD Architecture Framework v1.5. [1] DoDAF Architecture Framework Version 2.0 [2]. The Department of Defense Architecture Framework (DoDAF) is an architecture framework for the United States Department of Defense (DoD) that provides visualization infrastructure for specific stakeholders concerns through viewpoints organized by various views.
The Perfect Scrambled Egg Method. I don't stray from my tried-and-true ratio, but have introduced two big changes: First, the splash of cream is replaced by a small splash of good olive oil.
Guided analytics applications lie in the intersection between business intelligence and predictive analytics. A great number of business analysts rely on business intelligence tools to flexibly extract specific information from data. [1] It is often required to automatically run an analysis on the raw data before information can be extracted. [2]