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Data analytics for accountiong


ชื่อเรื่อง:
Data analytics for accountiong
ผู้แต่ง
Vernon J. Richardson, Ryan A. Teeter & Katie L Terrell
สำนักพิมพ์
McGraw-Hill Education
เลขเรียกหนังสือ
HF 5679 R52D 2019
คำสำคัญ
ACCOUNTING--DATA PROCESSING ; ACCOUNTING ; ACCOUNTING--STANDARDS ; FINANCIAL STATEMENTS
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