Nyhet

Accounting Analytics

Turning Data into Decisions

AvDaniel Ames

Häftad, Engelska, 2026

4 717 kr

Kommande

Beskrivning

"Accounting Analytics: Turning Data into Decisions" shows you how accounting and data come together in the real world. Instead of memorizing rules, you’ll learn how analysts think, ask the right questions, gather and prepare data, run analyses and explain results. Chapters uses the CRAFT framework -- Consider, Retrieve, Analyze, Frame and Tell -- to guide you step-by-step with any analytics problem. You’ll work hands-on with tools like Excel, Tableau, Alteryx and Python, building practical skills through progress checks, examples, discussions and real-company illustrations. Assessment materials include learning objectives, progress checks, discussion questions and in-depth labs or cases. The book aligns with analytics learning objectives from AACSB and the AICPA to integrate into modern accounting curricula and support programs that build data literacy and analytical confidence.

Produktinformation

Utgivningsdatum:2026-07-24
Format:Häftad
Språk:Engelska
Antal sidor:620
Förlag:Cengage Learning, Inc
ISBN:9798214495576

Utforska kategorier

Redovisning inom Ekonomi och Ledarskap

Mer om författaren

Daniel Ames, Ph.D., is a professor of accounting at Bryant University. He teaches and researches in the areas of accounting analytics, financial reporting and emerging technologies in the profession. His work bridges data analytics and decision-making, with a focus on how accountants transform raw data into actionable conclusions. Dr. Ames has led curricular innovations in analytics education, designed graduate programs and regularly collaborates with faculty and industry leaders on the future of accounting practice. In his free time, he enjoys running and volunteer work. He and his wife are the parents of seven children.

Innehållsförteckning

1. Introduction to Data Analytics.2. Tidy Data.3. Descriptive Statistics.4. Data Visualization.5. Probability and Statistical Inference.7. More topics in regression analysis.8. Logistic Regression Analysis.9. Data Mining.10. Robotic Process Automation.11. Audit Analytics.12. Tax Analytics.13. Managerial Analytics.15. AI and Accounting.