Data Analytics for Accounting

Katie L. Terrell Partha Sarathi Mohapatra Vernon Richardson Ryan A. Teeter

ISBN 10: 9390219663 / ISBN 13: 9789390219667

Edité par McGraw Hill (edition 2), 2020

A propos de cet article

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. International edition.

N° de réf. du vendeur 9390219663-11-1-7

Détails bibliographiques

• Titre: Data Analytics for Accounting
• Éditeur: McGraw Hill (edition 2)
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 9390219663
• ISBN à 13 chiffres: 9789390219667
• Reliure: Paperback
• Édition: 2.
• État de l'article: Very Good

A propos de ce titre

Synopsis

Data analytics for accounting, 2E is designed to provide the readers with the necessary tools and skills to successfully perform data analytics. Using isson's data analytics model, the impact cycle, the text provides a conceptual framework to help readers think through the steps needed to provide data-driven insights and recommendations. Each br>Chapter integrates lab exercises that provide multiple datasets and tutorials to give students hands-on experience working with different types of data. The book also emphasises on the application and usability of different tools for data analysis, such as Microsoft Excel, Microsoft access (including SQL) Tableau, idea, Xbox, and Weka. Salient features: 1. Emphasis on hands-on practice: get hands-on learning on datasets using click-by-click instructions, screenshots, etc. 2. Emphasis on Skills: working through the impact cycle framework, learn problem assessment, data preparation, data analysis, data visualisations, controls testing and more 3. Emphasis on datasets: use of multiple practice datasets (Audit, financial, and managerial data) in every br>Chapter with click-by-click instructions 4. Emphasis on tools: learn how to conduct data analysis using Excel, access (including SQL), Tableau, idea and Weka 5. Emphasis on accounting analytics in Indian context: a dedicated br>Chapter on importance of data analytics in Indian accounting industry and forensic audits done in India. Data analytics for accounting, 2E is designed to provide the readers with the necessary tools and skills to successfully perform data analytics. Using isson's data analytics model, the impact cycle, the text provides a conceptual framework to help readers think through the steps needed to provide data-driven insights and recommendations. Each br>Chapter integrates lab exercises that provide multiple datasets and tutorials to give students hands-on experience working with different types of data. The book also emphasises on the application and usability of different tools for data analysis, such as Microsoft Excel, Microsoft access (including SQL) Tableau, idea, Xbox, and Weka. Salient features: 1. Emphasis on hands-on practice: get hands-on learning on datasets using click-by-click instructions, screenshots, etc. 2. Emphasis on Skills: working through the impact cycle framework, learn problem assessment, data preparation, data analysis, data visualisations, controls testing and more 3. Emphasis on datasets: use of multiple practice datasets (Audit, financial, and managerial data) in every br>Chapter with click-by-click instructions 4. Emphasis on tools: learn how to conduct data analysis using Excel, access (including SQL), Tableau, idea and Weka 5. Emphasis on accounting analytics in Indian context: a dedicated br>Chapter on importance of data analytics in Indian accounting industry and forensic audits done in India.