Some error occured while loading the Quick View. Please close the Quick View and try reloading the page.
In today's rapidly evolving accounting landscape, success hinges on embracing cutting-edge technologies. Data analytics and blockchain technology have become indispensable tools for accountants as businesses increasingly digitize their operations. To remain at the forefront of the profession, accountants must possess the ability to decipher complex data and uncover emerging trends. Moreover, understanding the inner workings of blockchain technology is paramount for providing sound advice to clients. By continuously staying abreast of these groundbreaking technologies, accountants can secure their position as highly sought-after professionals.
Future-Proof Accounting: Data and Technology Strategies equips accounting students, professors, and industry experts with the knowledge needed to navigate the dynamic realm of accounting. This essential resource provides readers with a comprehensive understanding of the latest technologies and their practical applications. Whether you seek to enhance your skills for the classroom or the workplace, this indispensable guide offers the tools necessary for triumph.
Future-Proof Accounting: Data and Technology Strategies bridges the gap between theoretical knowledge and practical expertise, delving into the latest technological advancements and empowering students to cultivate proficiency in technologies that will shape their future careers.
Dr. Mfon Akpan, CGMA is Assistant Professor of Accounting at Methodist University, USA. He has a passion for emerging technologies and is an expert in virtual reality technology, researching new technologies and educational methods to offer students a current, effective, and relative teaching experience.
Chapter 1. The "players" in technology: Accountants' Role and CPA Evolution
Chapter 2. Blockchain: Smart Contract applications
Chapter 3. Cryptocurrencies: Ethereum
Chapter 4. Cloud Computing: Transforming Accounting in the Digital Age
Chapter 5. Cybersecurity
Chapter 6. NFTs - Comparing to existing metaverse like video games: Fortnite
Chapter 7. Artificial Intelligence and Machine Learning
Chapter 8. Information systems: Relational databases, extract transfer and load, etc.
Chapter 9. RPA
Chapter 10. Artificial intelligence
Chapter 11. Excel: VLOOKUP, pivot tables, SQL
Chapter 12. Programming: Python, R
Chapter 13. Visualization: Power BI, Tableau, Alteryx>
Chapter 14. Organization: Alteryx
Chapter 15. Textual analysis: NVivo, etc.
Chapter 16. Approach: Question → data → analysis → communication
Chapter 17. Statistics (a brief review) and why you need them
Chapter 18. Machine learning
Chapter 19. Quantitative analysis: Right now the closest tie-in to accounting would be for video games and their ecosystems