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Data and Analytics in Accounting: An Integrated Approach
Paperback

Data and Analytics in Accounting: An Integrated Approach

$119.99
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Authoritative textbook on the intersection of data and data analysis with the field of accounting

Data and Analytics in Accounting focuses on the development of technological agility in the context of accounting, using tools like Excel, Tableau, Power BI, SQL, and Alteryx to explain and demonstrate key concepts. Each chapter’s active learning assignments use as many of these tools as makes sense given the tool’s functionality, allowing instructors to choose one or more as preferred when creating a course’s learning structure.

The text approaches material utilizing the three stages of data analysis projects: planning, analyzing, and reporting. Planning stage chapters develop students’ understanding of the motivation for the project, help them identify the best objective questions, and provide a design template for selecting the optimal data and analysis strategies. Analysis stage chapters first prepare the data for analysis and look for intuitive patterns, then build information models, and finally explore the data further to best answer the objective questions. Report stage chapters provide guidance on how to verify and interpret results before forming a professional judgment.

In Data and Analytics in Accounting, readers can expect to find detailed discussion on topics like:

Using critical thinking, data literacy, technology skills, and communication skills to form a data analytics mindset Consider the stakeholders, identifying the purpose, considering alternatives, identifying risks, and identifying knowledge when applying a data analytics mindset How understanding data and data storage helps answer questions and how spreadsheet functions analyze large amounts of data Descriptive, predictive, diagnostic, and prescriptive objectives, plus data analytics motivations and objectives in professional practice

Providing a number of learning features including key terms, multiple choice questions, chapter reviews, brief exercises, and a supplementary online learning platform, Data and Analytics in Accounting is a highly useful reference on the subject, with essential information for both practicing accounting professionals and students/instructors in related courses.

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MORE INFO
Format
Paperback
Publisher
John Wiley & Sons Inc
Country
United States
Date
20 December 2022
Pages
672
ISBN
9781119889120

Authoritative textbook on the intersection of data and data analysis with the field of accounting

Data and Analytics in Accounting focuses on the development of technological agility in the context of accounting, using tools like Excel, Tableau, Power BI, SQL, and Alteryx to explain and demonstrate key concepts. Each chapter’s active learning assignments use as many of these tools as makes sense given the tool’s functionality, allowing instructors to choose one or more as preferred when creating a course’s learning structure.

The text approaches material utilizing the three stages of data analysis projects: planning, analyzing, and reporting. Planning stage chapters develop students’ understanding of the motivation for the project, help them identify the best objective questions, and provide a design template for selecting the optimal data and analysis strategies. Analysis stage chapters first prepare the data for analysis and look for intuitive patterns, then build information models, and finally explore the data further to best answer the objective questions. Report stage chapters provide guidance on how to verify and interpret results before forming a professional judgment.

In Data and Analytics in Accounting, readers can expect to find detailed discussion on topics like:

Using critical thinking, data literacy, technology skills, and communication skills to form a data analytics mindset Consider the stakeholders, identifying the purpose, considering alternatives, identifying risks, and identifying knowledge when applying a data analytics mindset How understanding data and data storage helps answer questions and how spreadsheet functions analyze large amounts of data Descriptive, predictive, diagnostic, and prescriptive objectives, plus data analytics motivations and objectives in professional practice

Providing a number of learning features including key terms, multiple choice questions, chapter reviews, brief exercises, and a supplementary online learning platform, Data and Analytics in Accounting is a highly useful reference on the subject, with essential information for both practicing accounting professionals and students/instructors in related courses.

Read More
Format
Paperback
Publisher
John Wiley & Sons Inc
Country
United States
Date
20 December 2022
Pages
672
ISBN
9781119889120