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AI Assisted Business Analytics : Techniques for Reshaping Competitiveness / by Joseph Boffa
版 | 1st ed. 2023. |
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出版者 | (Cham : Springer Nature Switzerland : Imprint: Springer) |
出版年 | 2023 |
本文言語 | 英語 |
大きさ | IX, 135 p. 93 illus., 48 illus. in color : online resource |
著者標目 | *Boffa, Joseph author SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Stochastic models LCSH:Multivariate analysis FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Stochastic Modelling in Statistics FREE:Multivariate Analysis |
一般注記 | Business Prosperity -- Analytics Case Studies -- Statistical Audit Design -- The Sales Tax Audit -- Forensic Accounting Using Benford Formula -- Financial Projections -- Planning Expenses and Investments -- Market Research The primary path to success, is to use 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 HTTP:URL=https://doi.org/10.1007/978-3-031-40821-2 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783031408212 |
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電子リソース |
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EB00224326 |