01615nam a2200241Ia 450000500170000000800470001724500870006410000260015170000330017726000380021025000490024830000360029730000100033350000190034302000180036265000310038005000230041154600150043450508890044933600090133833700150134733800110136220260803094236.0251212s2023    xx            000 0 und d©©©1 aData analytics for accounting /cVernon J. Richardson, Katie Terrell, Ryan Teeter.  aRichardson, Vernon J.  aTerrell, Katie; Teeter, Ryan  aNew York :bMcGraw Hill,c©2023.  aThird edition, International student edition  axxv, 609 pages: bIllustrations  c26 cm  aIncludes index  a9781265094454  aAccounting Data processing  a657.0285 R39d 2023  ain English  a 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  atext  aunmediated  avolume