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AI Assisted Business Analytics

Techniques for Reshaping Competitiveness

Springer

ISBN 978-3-031-40820-5

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128,39 €

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2023

45 s/w-Abbildungen, 48 Farbabbildungen.

In englischer Sprache

Umfang: ix, 135 S.

Format (B x L): 15,5 x 23,5 cm

Gewicht: 395

Verlag: Springer

ISBN: 978-3-031-40820-5

Produktbeschreibung

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.

Autorinnen und Autoren

Kundeninformationen

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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