Introduction to Business Analytics recognizes that students need to develop the skills to ask the right questions, learn to use common workplace tools (such as Excel®, Tableau®, and Power BI®) to examine and analyze data, and interpret results accurately and effectively to make business decisions. Richardson 1e provides a framework for developing a business analytics mindset called the SOAR analytics model which is composed of four steps- Specify the question, Obtain the data, analyze the data, and report the results. This model is used throughout the text in conjunction with the various types…mehr
Introduction to Business Analytics recognizes that students need to develop the skills to ask the right questions, learn to use common workplace tools (such as Excel®, Tableau®, and Power BI®) to examine and analyze data, and interpret results accurately and effectively to make business decisions. Richardson 1e provides a framework for developing a business analytics mindset called the SOAR analytics model which is composed of four steps- Specify the question, Obtain the data, analyze the data, and report the results. This model is used throughout the text in conjunction with the various types of data analysis that analysts need to perform. The lab activities, which appear at the end of each chapter, follow this framework to reinforce the analytical process. A capstone in the final chapter provides three projects that apply the complete SOAR model.
Vernon J. Richardson is a Distinguished Professor of Accounting and the G. William Glezen Chair in the Sam M. Walton College of Business at the University of Arkansas and a visiting professor at Baruch College. He received his BS. Master's of Accountancy, and MBA from Brigham Young University and a PhD in accounting from the University of Illinois at Urbana-Champaign. He has taught students at the University of Arkansas, University of Illinois, Brigham Young University, and University of Kansas and internationally at Chinese University of Hong Kong Shenzhen, Aarhus University, the China Europe International Business School (Shanghai), Xi'an Jiaotong Liverpool University, and the University of Technology Sydney. Dr. Richardson is a member of the American Accounting Association. He has served as president of the American Accounting Association Information Systems section. He previously served as an editor of The Accounting Review and is currently an editor at Accounting Horizons. He has published articles in The Accounting Review, Journal of Information Systems, Journal of Accounting and Economics, Contemporary Accounting Research, MIS Quarterly, International Journal of Accounting Information Systems, Journal of Management Information Systems, Journal of Operations Management, and Journal of Marketing. Dr. Richardson is also a co-author of McGraw-Hill's Introduction to Data Analytics for Accounting, Data Analytics for Accounting and Introduction to Business Analytics textbooks.
Inhaltsangabe
Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions Chapter 2: Obtain the Data: An Introduction to Business Data Sources Chapter 3: Analyze the Data: Basic Statistics and Tools Required in Business Analytics Chapter 4: Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic Analytics) Chapter 5: Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive Analytics) Chapter 6: Report the Results: Using Data Visualization Chapter 7: Marketing Analytics Chapter 8: Accounting Analytics Chapter 9: Financial Analytics Chapter 10: Operations Analytics Chapter 11: Advanced Business Analytics Chapter 12: Using the SOAR Analytics Model to Put It All Together: Three Capstone Projects Appendix A: Excel Tutorial (Formatting, Sorting, Filtering, and Using Pivot Tables) Appendix B: Tableau Tutorial Appendix C: Power BI Desktop Tutorial Appendix D: Basic Statistics Tutorial Appendix E: Installing Excel's Analysis ToolPak Add-In Appendix F: Installing Excel's Solver Add-In
Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions Chapter 2: Obtain the Data: An Introduction to Business Data Sources Chapter 3: Analyze the Data: Basic Statistics and Tools Required in Business Analytics Chapter 4: Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic Analytics) Chapter 5: Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive Analytics) Chapter 6: Report the Results: Using Data Visualization Chapter 7: Marketing Analytics Chapter 8: Accounting Analytics Chapter 9: Financial Analytics Chapter 10: Operations Analytics Chapter 11: Advanced Business Analytics Chapter 12: Using the SOAR Analytics Model to Put It All Together: Three Capstone Projects Appendix A: Excel Tutorial (Formatting, Sorting, Filtering, and Using Pivot Tables) Appendix B: Tableau Tutorial Appendix C: Power BI Desktop Tutorial Appendix D: Basic Statistics Tutorial Appendix E: Installing Excel's Analysis ToolPak Add-In Appendix F: Installing Excel's Solver Add-In
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