000 | 02372nam a22002537a 4500 | ||
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999 |
_c2200 _d2200 |
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005 | 20220225113656.0 | ||
008 | 220225b ||||| |||| 00| 0 eng d | ||
020 | _a9789390219667 | ||
082 |
_a657.0285 _bRIC |
||
100 |
_aRichardson, Vernon J. _95085 |
||
245 | _aData analytics for accounting | ||
250 | _a2nd | ||
260 |
_bMcGraw Hill Education (India) Pvt. Ltd. _aChennai _c2021 |
||
300 | _axxiii, 513 p. | ||
365 |
_aINR _b725.00 |
||
504 | _aTable of content Chapter 1 Data Analytics for Accounting and Identifying the Questions Chapter 2 Mastering the Data Chapter 3 Performing the Test Plan and Analyzing the Results 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’s Data to Predict Sales Returns Chapter 12 Accounting Analytics in India Appendix A Basic Statistics Tutorial Appendix B Accessing the Excel Data Analysis Toolpak Appendix C Excel (Formatting, Sorting, Filtering, and PivotTables) Appendix D SQL Part 1 Appendix E SQLite Appendix F Power Query Appendix G Tableau Appendix H SQL Part 2 Appendix I Power BI Appendix J Dillard’s ER Diagram Appendix K Data Dictionaries | ||
520 | _aOVERVIEW Data Analytics for Accounting, 2e is designed to provide the readers with the necessary tools and skills to successfully perform data analytics. Using Isson's data analytics model, the IMPACT Cycle, the text provides a conceptual framework to help readers think through the steps needed to provide data-driven insights and recommendations. Each chapter integrates lab exercises that provide multiple datasets and tutorials to give students hands-on experience working with different types of data. The book also emphasizes on the application and usability of different tools for data analysis, such as Microsoft Excel, Microsoft Access (including SQL) Tableau, IDEA, XBRL, and Weka. | ||
650 |
_aAccounting - Data processing _95641 |
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650 |
_aDecision support systems _93854 |
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650 |
_aIndustrial management - Statistical methods _91901 |
||
700 |
_aTeeter, Ryan _95642 |
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700 |
_aTerrell, Katie _95643 |
||
942 |
_2ddc _cBK |