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Data analysis is a systematic method of cleaning, transforming and modelling statistical or logical techniques to describe and evaluate data. [44] Using data analysis as an analytical skill means being able to examine large volumes of data and then identifying trends within the data.
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
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More specific qualifications may be required additionally: [9] In (senior) financial management roles, a professional accounting certification – the CPA, CA, CMA, or CIMA – is often a prerequisite; this, given the overlap with tax and financial reporting. [26] Risk managers increasingly require the FRM / PRM, or an actuarial qualification ...
Accounting, also known as accountancy, is the process of recording and processing information about economic entities, such as businesses and corporations. [1] [2] Accounting measures the results of an organization's economic activities and conveys this information to a variety of stakeholders, including investors, creditors, management, and regulators. [3]
In accounting terms an ideal IT platform (or ERP system) would be one which presents the data management need at the press of a button, however, various factors such as legacy systems, complexity, changing information needs and so on usually mean a team is needed on an ongoing basis to ensure the correct format reports are prepared.
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