Analytics and Big Data for Accountants
John Wiley & Sons Inc (Hersteller)
978-1-119-78469-2 (ISBN)
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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
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).
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
| Erscheint lt. Verlag | 11.11.2020 |
|---|---|
| Reihe/Serie | AICPA |
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-119-78469-7 / 1119784697 |
| ISBN-13 | 978-1-119-78469-2 / 9781119784692 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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