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Data and Analytics in Accounting

About Data and Analytics in Accounting

Data Analytics in Accounting: An Integrated Approach develops an integrated data analysis and critical thinking skill set needed to be successful in the rapidly changing accounting profession. Following a pattern-based approach to profiling, cleaning, and transforming data, the book helps explore data from a variety of perspectives for analytical purposes and key data relationships. The text guides students to develop the professional skills they need to plan, perform, and communicate data analyses effectively and efficiently in the real world. This international edition introduces a new feature "Data Analytics and Decision Making" at the end of the book, which offers students the opportunity to see how they can use data analytics to help solve realistic business problems. In addition, topical changes have been made in select chapters and brief exercises along with multiple-choice questions have been revised in all the chapters.

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  • Language:
  • English
  • ISBN:
  • 9781119889120
  • Binding:
  • Paperback
  • Pages:
  • 672
  • Published:
  • August 14, 2024
  • Edition:
  • 1
  • Dimensions:
  • 217x274x30 mm.
  • Weight:
  • 1448 g.
  In stock
Delivery: 3-5 business days
Expected delivery: August 10, 2025

Description of Data and Analytics in Accounting

Data Analytics in Accounting: An Integrated Approach develops an integrated data analysis and critical thinking skill set needed to be successful in the rapidly changing accounting profession. Following a pattern-based approach to profiling, cleaning, and transforming data, the book helps explore data from a variety of perspectives for analytical purposes and key data relationships. The text guides students to develop the professional skills they need to plan, perform, and communicate data analyses effectively and efficiently in the real world. This international edition introduces a new feature "Data Analytics and Decision Making" at the end of the book, which offers students the opportunity to see how they can use data analytics to help solve realistic business problems. In addition, topical changes have been made in select chapters and brief exercises along with multiple-choice questions have been revised in all the chapters.

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