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In areas such as business intelligence, for example, data integration is used to describe the combining of data, whereas data fusion is integration followed by reduction or replacement. Data integration might be viewed as set combination wherein the larger set is retained, whereas fusion is a set reduction technique with improved confidence.
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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 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 .
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.
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Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
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]