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  2. Association of Chartered Certified Accountants - Wikipedia

    en.wikipedia.org/wiki/Association_of_Chartered...

    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

  3. Uniform Certified Public Accountant Examination - Wikipedia

    en.wikipedia.org/wiki/Uniform_Certified_Public...

    The Uniform Certified Public Accountant Examination (CPA Exam) is the examination administered to people who wish to become Certified Public Accountants in The United States of America. The CPA Exam is used by the regulatory bodies of all fifty states plus the District of Columbia , Guam , Puerto Rico , the U.S. Virgin Islands and the Northern ...

  4. Registered Professional Accountant - Wikipedia

    en.wikipedia.org/wiki/Registered_Professional...

    Foreign Designated Accountant Pathway [11] Holders of recognized foreign accounting designations and with two years experience working in the accounting field may be granted the RPA designation and must complete Canadian Taxation I & II, Canadian Business Law, and Data Analytics courses within 18 months following admission as an RPA.

  5. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    It is a tool to discover and decipher useful information for business decision-making. It is imperative in inferring information from data and adhering to a conclusion or decision from that data. Data analysis can stem from past or future data. Data analysis is an analytical skill, commonly adopted in business, as it allows organisations to ...

  6. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    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 .

  7. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  8. Forensic accounting - Wikipedia

    en.wikipedia.org/wiki/Forensic_accounting

    Today, forensic accountants work closely with data analytics to dig through complex financial records. Data collection is an important aspect of forensic accounting because proper analysis requires data that is sufficient and reliable. [24] Once a forensic accountant has access to the relevant data, analytic techniques are applied.

  9. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational methods, and machine learning to extract insights, build predictive models, and drive data-driven decision-making. Both fields use data to ...

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