Data Analytics For Accounting(2nd Edition)

Authors:

Vernon Richardson

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 1260904334, 9781260904338

Book publisher: Pearson; 10th edition (May 28, 2016)

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Book Price $0 : Data Analytics For Accounting by Vernon Richardson, now in its second edition, is a pivotal text that seamlessly integrates accounting principles with data analytics methodologies. This book is designed to enhance the understanding of how analytics transform financial data into actionable business insights. The text delves deeply into SEO-relevant concepts such as data mining, predictive analytics, and data visualization while maintaining a focus on accounting standards and methodologies. The structured table of content facilitates a logical flow of information, beginning with the basics of data analytics and progressing towards advanced topics like machine learning applications in auditing. The solution manual, an added resource, provides complete clarity on complex analytical problems, while the answer key helps in cross-verifying solutions, making it ideal for self-study. The book has been well-received for its practical approach and real-world relevance, providing thorough coverage of Excel, Tableau, and other relevant data analytics tools. With a strong emphasis on ethical considerations, Richardson underscores the importance of integrity in data usage within financial contexts. Overall, this text offers valuable insights for accounting professionals in the digital age, preparing them for the evolving landscape of data-driven decision-making. For anyone searching for cheap and reliable educational content, this volume is a commendable choice.

Customer Reviews

Trusted feedback from verified buyers

EW
Elena Wells
4.0
The book serves as a very handy guide for anyone trying to get into the groove of data analytics in accounting. It's well-structured, with clear insights and examples to follow along. However, I did feel it was a bit on the expensive side. That being said, with my membership benefits, I managed to get a reasonable deal. Delivery was seamless, as always.
MM
Malcolm Mills
3.0
An okay read if you're new to the subject, but I hoped for more in-depth content. Some sections felt a bit basic. Good start for beginners though.
BA
Blair Abbott
5.0
This book is a fantastic asset for anyone in the accounting field. I found the explanations clear and the examples highly relevant, particularly when working on data-driven decision-making processes. The authors have done an outstanding job of breaking down complex topics into digestible bits. As someone who constantly seeks to improve my data analytics skills, this book has been invaluable. Also, the delivery was prompt, and the packaging was secure.
DL
Danielle Lowe
5.0
I am not a data analyst by profession, but this book made complex data analytics concepts accessible and less intimidating. The examples are practical and directly applicable to real-world accounting scenarios. I appreciate how it guides you to enhance your analytical skills systematically. It also arrived on time, which is always a plus. Definitely recommend!
BC
Bella Crawford
4.0
The book has a solid balance between theoretical concepts and practical examples, which I found very helpful. It didn’t just dump loads of information; it walked me through the application of data analytics in accounting clearly. I ordered it using my membership subscription, so received a nice discount. Delivery was fast, arrived a day earlier than expected.