Overview
- Exhibits growing trend of Computer Assisted Audit Techniques (CAATs) in auditing
- Promotes using AI techniques to facilitate the learning process
- Uses Predictive Modeling and Predictive Analytics to forecast future results
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Table of contents (8 chapters)
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Front Matter
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Auditmetrics Overview
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Front Matter
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The Statistical Audit
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Front Matter
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Part III
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Front Matter
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Part IV
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Front Matter
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Back Matter
Keywords
About this book
This book explains the primary path to success, using software designed to sample and analyze cashflow and then link that analysis, with forecasting and market research. The case study will start with a small business income statement indicating a cashflow problem. The analysis that follows will be a comprehensive statistical approach of fiscal management.
The case study will provide an overview of the total process of controlling and analyzing cashflow. Business prosperity depends on:
1- Staying in touch with cashflow by means of regular statistical audits
2- Transition to statistical methods for forecasting future cashflow
3- Link cashflow with customer perception and satisfaction
The book is intended for courses with prerequisites that the student has a knowledge of accounting and is comfortable in using Excel. It uses professional Excel with its Analytics Toolkit. Complete knowledge of the Toolkit is not a prerequisite since the book will adequately cover the relevant analytic tools. There is no need for separate statistical software such as SPSS or SAS. The book is intended for intermediate/advanced college level courses in business financial methods and control.
Authors and Affiliations
About the author
Joseph Boffa currently a Board Member of the non-profit Massachusetts Alliance for Retired Americans and administers its Vision Care Discount program for retirees of New England, in conjunction with Vision World and Davis Vision. Dr. Boffa was faculty member and past director of the post-doctoral training program in the Department of Health Policy and Health Services Research, Boston University's Goldman School. He was also Plan Director of a dental benefit for employees of Boston University and Boston Medical Center. He currently teaches a Boston University post-doctoral course: “HealthCare Management and Finance”.
Bibliographic Information
Book Title: AI Assisted Business Analytics
Book Subtitle: Techniques for Reshaping Competitiveness
Authors: Joseph Boffa
DOI: https://doi.org/10.1007/978-3-031-40821-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-40820-5Published: 29 October 2023
Softcover ISBN: 978-3-031-40823-6Due: 29 November 2023
eBook ISBN: 978-3-031-40821-2Published: 28 October 2023
Edition Number: 1
Number of Pages: IX, 135
Number of Illustrations: 45 b/w illustrations, 48 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Statistical Theory and Methods, Statistical Theory and Methods