If you are looking to delve into the world of data and analytics in the field of accounting, the book “Data and Analytics in Accounting, 1st edition by Dzuranin” is a valuable resource that can help you understand the integration of technology and data analysis tools in accounting practices.
The book explores the development of technological agility within the accounting domain, utilizing tools such as Excel, Tableau, Power BI, SQL, and Alteryx to illustrate and demonstrate key concepts. Each chapter includes practical learning assignments that incorporate these tools, allowing instructors to customize the course’s learning structure based on their preferences.
Approaching the material through the three stages of data analysis tasks – planning, analyzing, and reporting – the book aims to enhance students’ understanding of how to effectively leverage data for informed decision-making. Starting with establishing project motivations and identifying key questions, moving on to data preparation and analysis, and concluding with result interpretation, the book provides a comprehensive framework for data-driven accounting practices.
Key topics covered in “Data and Analytics in Accounting” include:
- Developing a data analytics mindset through critical thinking, data literacy, technical skills, and communication abilities
- Considering stakeholders, defining objectives, evaluating alternatives, managing risks, and leveraging data analytics for decision-making
- Understanding data storage, utilizing spreadsheet functions for data analysis, and interpreting large datasets
- Exploring descriptive, predictive, diagnostic, and prescriptive analytics objectives, along with the motivations and goals of data analytics in professional accounting
The book offers various learning resources such as key terms, multiple-choice questions, chapter reviews, and practical exercises, along with access to a supplementary online learning platform. Whether you are a practicing accounting professional or a student/instructor in related courses, “Data and Analytics in Accounting” serves as a valuable reference providing essential insights into leveraging data analytics in the accounting domain.
Frequently Asked Questions (FAQs)
1. Who can benefit from reading “Data and Analytics in Accounting”?
Both practicing accounting professionals and students/instructors in related courses can benefit from the insights and practical knowledge shared in the book.
2. What tools are highlighted in the book for data analysis in accounting?
The book explores the use of tools such as Excel, Tableau, Power BI, SQL, and Alteryx for data analysis and visualization in accounting practices.
3. What are the key stages of data analysis tasks covered in the book?
The book covers the three key stages of data analysis tasks: planning, analyzing, and reporting, providing a structured approach to leveraging data for decision-making in accounting.
4. Are there practical exercises and learning resources included in the book?
Yes, the book includes practical exercises, multiple-choice questions, chapter reviews, and access to a supplementary online learning platform to enhance the learning experience.
Conclusion
“Data and Analytics in Accounting” offers a comprehensive guide to integrating data analytics into accounting practices, equipping readers with the knowledge and skills needed to leverage data effectively for informed decision-making. By exploring key tools, concepts, and methodologies in data analysis, the book serves as a valuable resource for accounting professionals and students seeking to enhance their data analytics capabilities in the accounting field.
Be the first to review “Data and Analytics in Accounting, 1st edition Dzuranin – Test Bank”