Analytics and Big Data for Accountants

by Lindell, Jim

• ISBN13: 9781119512332
• ISBN10: 1119512336
• Edition: 1st
• Format: Paperback
• Copyright: 2018-05-08
• Publisher: Wiley

Summary

Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many using the unprecedented amount of data now flowing into organizations. Featuring updated examples and surveys, this dynamic book covers leading-edge topics in analytics and finance. It is packed with useful tips and practical guidance you can apply immediately.

This book prepares accountants to:

• Deal with major trends in predictive analytics, optimization, correlation of metrics, and big data.
• Interpret and manage new trends in analytics techniques affecting your organization.
• Use new tools for data analytics.
• Critically interpret analytics reports and advise decision makers.

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 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 2-19

Chapter 3 3-1

What Are the Trends in Big Data? 3-1

Practice Questions 3-12

Chapter 4 4-1

What Are the Strategy and Business Applications of Big Data? 4-1

Practice Questions 4-13

Chapter 5 5-1

Big Data Platforms and Operating Tools 5-1

Practice Questions 5-21

Chapter 6 6-1

Big Data End User and Accounting Tools 6-1

Practice Questions 6-26

Chapter 7 7-1

Examples of Big Data 7-1

Practice Questions 7-17

Chapter 8 8-1

Big Data in the Accounting Department 8-1

Practice Questions 8-14

Chapter 9 9-1

Ethics and Privacy With Big Data 9-1

Practice Questions 9-17

Index 1

Solutions 1

Chapter 1 Solutions 1

Chapter 2 Solutions 2

Chapter 3 Solutions 4

Chapter 4 Solutions 5

Chapter 5 Solutions 6

Chapter 6 Solutions 8

Chapter 7 Solutions 10

Chapter 8 Solutions 12

Chapter 9 Solutions 14