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Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:
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Positional Analysis Questionnaire was developed with the hope that it could be used with a minimum of training on the part of the individual analyzing a job. [2] Compared to many other methods in job analysis, PAQ has been found to be effective, inexpensive, and easy to use for human resource and trainees.
These data sources include interview transcripts, videos of social interactions, notes, verbal reports [8] and artifacts such as books or works of art. The case study method exemplifies qualitative researchers' preference for depth, detail, and context. [11] [12] Data triangulation is also a strategy used in qualitative research. [13]
A business analyst should have knowledge in IT and/or business, but the combination of both of these fields is what makes a business analyst such a valuable asset to the business environment. As a minimum standard, a business analyst should have a "general understanding of how systems, products and tools work" in the business environment. [2]
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A multiple choice question, with days of the week as potential answers. Multiple choice (MC), [1] objective response or MCQ(for multiple choice question) is a form of an objective assessment in which respondents are asked to select only the correct answer from the choices offered as a list.
Data analyst, retrieves, organizes and analyzes information from various sources to help an organization achieve business goals; Financial analyst, analyzes securities and business equity in economics and finance; Industry analyst, performs market research on segments of industries to identify trends in business and finance