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In April 2019, a Data Analytics unit was added in EPSM . The qualification is structured in three modules, plus an Ethics and Professional Skills module and a Professional Experience Requirement (PER). [12] The Applied Knowledge level consists of 3 examinations: BT - Business and Technology; MA - Management Accounting; FA - Financial Accounting
Analytics is the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions." It is a subset of business intelligence , which is a set of technologies and processes that uses data to understand and analyze business performance to drive decision-making .
A Bachelor of Business Administration (BBA) is an undergraduate degree in business administration awarded by colleges and universities after completion of four years and typically 120 credits of undergraduate study in the fundamentals of business administration, usually including advanced courses in business analytics, business communication, corporate finance, financial accounting ...
Business informatics (BI) is a discipline combining economics, the economics of digitization, business administration, accounting, internal auditing, information technology (IT), and concepts of computer science.
Students with a University Degree in Accounting and two years experience working in the accounting field may take the MPE Review Sessions and apply to write the Mandatory Professional Exams (MPE) in Financial Accounting, Management Accounting, Taxation, and Data Analytics to earn the RPA Designation. [10] Bookkeeper Practitioner Pathway
Management accounting is an applied discipline used in various industries. The specific functions and principles followed can vary based on the industry. Management accounting principles in banking are specialized but do have some common fundamental concepts used whether the industry is manufacturing-based or service-oriented.
The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [ 3 ] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year.
Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.
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