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DATA ANALYTICS FOR ACCOUNTING 3ED

Vernon Richardson y Katie L. Terrell

Editorial: McGraw-Hill Higher Education

Edición: 3

Fecha Publicación: 2023

ISBN: 9781265094454

ISBN ebook: 9781265631529

Páginas: 641

Sección: Business

Idioma: Inglés

Chapter 1: Data Analytics for Accounting and Identifying theQuestions?

Chapter 2: Mastering the Data?

Chapter 3: Performing the Test Plan and Analyzing theResults?

Chapter 4: Communicating Results and Visualizations?

Chapter 5: The Modern Accounting Environment?

Chapter 6: Audit Data Analytics?

Chapter 7: Managerial Analytics?

Chapter 8: Financial Statement Analytics?

Chapter 9: Tax Analytics?

Chapter 10: Project Chapter (Basic)?

Chapter 11: Project Chapter (Advanced): Analyzing Dillard’sData to Predict Sales Returns?

Appendix A: Basic Statistics Tutorial?

Appendix B: Excel (Formatting, Sorting, Filtering, andPivotTables)?

Appendix C: Accessing the Excel Data Analysis Toolpak?

Appendix D: SQL Part 1?

Appendix E: SQL Part 2?

Appendix F: Power Query in Excel and Power BI?

Appendix G: Power BI Desktop?

Appendix H: Tableau Prep Builder?

Appendix I: Tableau Desktop?

Appendix J: Data Dictionaries?

*La edición digital no incluye códigos de acceso a material adicional o programas mencionados en el libro.

Data Analytics is changing the business world—data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics through a conceptual framework and hands-on practice with real-world data. Using the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Once students understand the foundation of providing data-driven insights, they are then provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their career. The data analysis tools are structured around two tracks—the Microsoft track (Excel, Power Pivot, and Power BI) and a Tableau track (Tableau Prep and Tableau Desktop). Using multiple tools allows students to learn which tool is best suited for the necessary data analysis, data visualization, and communication of the insights gained. Data Analytics for Accounting 3e is a full-course data analytics solution guaranteed to prepare your students for their future careers as accountants.

Vernon Richardson