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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]
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.
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 ]
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]
An accounting information system (AIS) is a system of collecting, storing and processing financial and accounting data that are used by decision makers.An accounting information system is generally a computer-based method for tracking accounting activity in conjunction with information technology resources.
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