Analytics and big data for accountants
Author(s)
Bibliographic Information
Analytics and big data for accountants
（AICPA）
John Wiley & Sons, Inc., 2021
Second edition
- pbk.
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Description and Table of Contents
Description
Why is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators.
Key topics covered include:
Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects
Relating data to return on investment, financial values, and executive decision making
Data sources including surveys, interviews, customer satisfaction, engagement, and operational data
Visualizing and presenting complex results
Table of Contents
Overview Overview-1
Chapter 1 1-1
What Are Big Data and Analytics? 1-1
Practice questions 1-13
Chapter 2 2-1
Big Data History-Big Data Sources and Characteristics 2-1
Practice questions 2-22
Chapter 3 3-1
What Are the Trends in Big Data? 3-1
Practice questions 3-9
Chapter 4 4-1
What Are the Strategy and Business Applications of Big Data? 4-1
Practice questions 4-15
Chapter 5 5-1
Big Data Platforms and Operating Tools 5-1
Practice questions 5-38
Chapter 6 6-1
Big Data End User and Accounting Tools 6-1
Practice questions 6-27
Chapter 7 7-1
Examples of Big Data 7-1
Practice questions 7-20
Chapter 8 8-1
Big Data in the Accounting Department 8-1
Practice questions 8-15
Chapter 9 9-1
Ethics and Privacy With Big Data 9-1
Practice questions 9-18
Index Index 1
Solutions Solutions 1
Chapter 1 Solutions 1
Chapter 2 Solutions 2
Chapter 3 Solutions 5
Chapter 4 Solutions 6
Chapter 5 Solutions 8
Chapter 6 Solutions 10
Chapter 7 Solutions 12
Chapter 8 Solutions 15
Chapter 9 Solutions 16
by "Nielsen BookData"
