Data Analytics for Accounting, 2nd Edition - Tapa blanda

Sinopsis

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.

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