Data analytics for accountiong |
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ชื่อเรื่อง: | Data analytics for accountiong |
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ผู้แต่ง | Vernon J. Richardson, Ryan A. Teeter & Katie L Terrell |
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สำนักพิมพ์ |
McGraw-Hill Education |
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เลขเรียกหนังสือ | HF 5679 R52D 2019 |
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คำสำคัญ | ACCOUNTING--DATA PROCESSING ; ACCOUNTING ; ACCOUNTING--STANDARDS ; FINANCIAL STATEMENTS |
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ดาวน์โหลดไฟล์ | ||
This edition is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using Isson's data analytics model, the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Labs provide multiple datasets and tutorials. Students will conduct data analysis using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka.
Chapter 1: Data analytics in Accounting and Business
Chapter 2: Data Preparation and Cleaning
Chapter 3: Modeling and Evaluation: Going from Defining Business Problems and Data Understanding to Analyzing Data and Answering Questions
Chapter 4: Visualizations: Using Visualizations and Summaries to Share Results with Stakeholders
Chapter 5: The Modern Audit and Continuous Auditing
Chapter 6: Audit Data Analytics
Chapter 7: Generating key performance indicators
Chapter 8: Using financial statement data 2019-06-07 15:33:00 |