Richardson, Vernon J. creator Terrell, Katie; Teeter, Ryan text xx New York McGraw Hill ©2023 2023 Third edition, International student edition monographic und

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xxv, 609 pages: Illustrations 26 cm 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 Vernon J. Richardson, Katie Terrell, Ryan Teeter. Includes index in English Accounting Data processing 657.0285 R39d 2023 9781265094454 251212 20260803094236.0