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Accounting Analytics
Accounting Analytics
Knygos.lt klubas Knygos.lt nariams
513,44 €
-30%
Įprastai
733,49 €
  • Planuojame turėti už 119 d.
"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 skil…

Accounting Analytics (el. knyga) (skaityta knyga) | Daniel Ames | knygos.lt

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"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.

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"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.

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