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In the philosophy of Hans-Georg Gadamer, a fusion of horizons (German: Horizontverschmelzung) is the process through which the members of a hermeneutical dialogue establish the broader context within which they come to a shared understanding.
Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.
Business Analysis and Valuation Using Financial Statements: Text and Cases [2] is a textbook by Krishna Palepu and Paul Healy, which is widely used in worldwide MBA programs and finance courses. It is in its 5th edition, and also has an IFRS edition. [3] The fifth edition was released August 2012. [1]
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 .
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Fusion of the data from two sources (dimensions #1 & #2) can yield a classifier superior to any classifiers based on dimension #1 or dimension #2 alone.. Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.
An analysis of the capacities, the contract or agreement, and the relationship between collaborating stakeholders is conducted. Analysis of contracting-out and/or collaborations can ensure goals are met successfully prior to the beginning of a partnership, and correct inefficiencies throughout the time frame of the collaboration.
Another such approach, fusion analysis, overlays fundamental analysis with technical, in an attempt to improve portfolio manager performance. Technical analysis is also often combined with quantitative analysis and economics. For example, neural networks may be used to help identify intermarket relationships. [36]