Analytics and Big Data for Accountants

by Lindell, Jim

• ISBN13: 9781119784623
• ISBN10: 111978462X
• Edition: 2nd
• Format: Paperback
• Copyright: 2020-12-03
• Publisher: Wiley

Summary

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

Author Biography

Jim Lindell, MBA, CPA, CGMA, is President of Thorsten Consulting Group, Inc., a Wisconsin based provider of Strategic and Financial Consulting, Professional Speaking, Training, and Executive Coaching. He has an extensive background in senior management including: Chief Financial Officer of Coolidge Glass Company, Inc., Waukesha, Wisconsin, Chief Financial Officer for Lutheran Social Services of Wisconsin and Upper Michigan, Inc., and Corporate Assistant Controller for Wispak Foods, Butler, Wisconsin. In addition, Lindell is a TEC Chairman for two groups in Wisconsin (TEC is an international organization of CEOs).

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