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Data Analytics for Accounting, Third Edition

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This textbook is designed to prepare accounting students with the necessary tools and skills to successfully perform data analytics in their careers. It is structured around a conceptual framework, the IMPACT Cycle, which guides students through the steps needed to provide data-driven insights and recommendations for business questions. The book emphasizes hands-on practice using real-world datasets and various data analysis tools. It focuses on the seven key skills that an analytic-minded accountant must have: A developed analytics mindset (knowing when and how data analytics addresses business questions). Data scrubbing and data preparation. Data quality recognition (completeness, reliability, or validity). Descriptive data analysis. Data analysis through data manipulation, including diagnostic, predictive, or prescriptive analytics. Statistical data analysis competency. Data visualization and data reporting. The book applies the IMPACT cycle framework to major areas of the accounting profession, including Audit Data Analytics, Managerial Analytics, Financial Statement Analytics, and Tax Analytics

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Vernon J. Richardson, Ryan Teeter, Katie L. Terrell Data Analytics for Accounting
Publisher: 2018 ISBN: 9781260288407 Edition: Unknown

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