Data Analytics for Accounting https://www.mheducation.com/cover-images/Jpeg_400-high/1260375196.jpeg 1 9781260375190 Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using Isson's data analytics model, the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Integrated in each chapter, labs provide multiple datasets and tutorials to give students hands-on experience working with different types of data and the tools used to analyze it. Students will conduct data analysis using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. And with Connect, an easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student outcomes, instructors receive an innovative course solution that includes cutting-edge content and assessment paired with assignments that help students build the skills they need to succeed.
Data Analytics for Accounting

Data Analytics for Accounting

1st Edition
By Vernon Richardson and Katie Terrell and Ryan Teeter
ISBN10: 1260375196
ISBN13: 9781260375190
Copyright: 2019
Product Details +
09781260375190

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ISBN10: 1260375196 | ISBN13: 9781260375190

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ISBN10: 1260375153 | ISBN13: 9781260375152

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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Program Details

Chapter 1: Data analytics in Accounting and Business
Chapter 2: Data Preparation and Cleaning
Chapter 3: Modeling and Evaluation: Going from Defining Business Problems and Data Understanding to Analyzing Data and Answering Questions
Chapter 4: Visualizations: Using Visualizations and Summaries to Share Results with Stakeholders
Chapter 5: The Modern Audit and Continuous Auditing
Chapter 6: Audit Data Analytics
Chapter 7: Generating key performance indicators
Chapter 8: Using financial statement data