AI Assisted Business Analytics : Techniques for Reshaping Competitiveness / / by Joseph Boffa
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| Autore: |
Boffa Joseph
|
| Titolo: |
AI Assisted Business Analytics : Techniques for Reshaping Competitiveness / / by Joseph Boffa
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Edizione: | 1st ed. 2023. |
| Descrizione fisica: | 1 online resource (133 pages) |
| Disciplina: | 300.727 |
| 658.4012 | |
| Soggetto topico: | Statistics |
| Stochastic models | |
| Multivariate analysis | |
| Statistics in Business, Management, Economics, Finance, Insurance | |
| Stochastic Modelling in Statistics | |
| Multivariate Analysis | |
| Planificació empresarial | |
| Planificació estratègica | |
| Processament de dades | |
| Intel·ligència artificial | |
| Aplicacions industrials | |
| Competència econòmica | |
| Soggetto genere / forma: | Llibres electrònics |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | AI Assisted Business Analytics |
| ISBN: | 3-031-40821-7 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910755079503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |