Solution manual For Data and Analytics in Accounting: An Integrated Approach, 1st Edition by Ann C. Dzuranin, Guido Geerts, and Margarita Lenk
SOLUTIONS MANUAL

Solution manual For Data and Analytics in Accounting: An Integrated Approach, 1st Edition by Ann C. Dzuranin, Guido Geerts, and Margarita Lenk

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400
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14.32 MB
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About this ebook
Solution manual For Data and Analytics in Accounting: An Integrated Approach, 1st Edition by Ann C. Dzuranin, Guido Geerts, and Margarita Lenk is structured around a three-stage Plan-Analyze-Report (PAR) Framework. The book covers the complete lifecycle of data literacy, critical thinking, and technical execution across 10 distinct chapters. [1, 2, 3, 4]
The textbook uses the MOSAIC process to systematically map data analytics to business objectives and the SPARKS model (Stakeholders, Purpose, Alternatives, Risks, Knowledge, Self-reflection) to prompt critical thinking in every step. [1, 2, 3]
Core Topics by Chapter
Part 1: Plan
    • Chapter 1: Data and Analytics in the Accounting Profession
        • The role of big data, analytics, and automation in modern accounting practice.
        • Alignment with the CPA Evolution Model and professional standards. [, 2, 3]
    • Chapter 2: Foundational Data Analysis Skills
        • Core data literacy, essential mathematical/statistical concepts, and understanding data types. [1]
    • Chapter 3: Motivations and Objectives for Data Analysis
        • Defining business problems and setting analytical objectives using the MOSAIC framework. [, 2, 3, 4]
    • Chapter 4: Planning Data and Analysis Strategies
        • Determining data needs, data sourcing strategies, and establishing data governance rules. [1]
Part 2: Analyze
    • Chapter 5: Analysis: Data Preparation
        • A pattern-based approach to data extraction, profiling, cleaning, and transforming data (ETL process). [1]
    • Chapter 6: Analysis: Information Modeling
        • Structuring data relationships, understanding schema types, and setting up relational database models. [1, 2, 3]
    • Chapter 7: Analysis: Data Exploration
        • Exploring data from multiple operational perspectives to surface unexpected patterns and variances. [1, 2]
Part 3: Report
    • Chapter 8: Interpreting Data Analysis Results
        • Evaluating data findings, conducting diagnostics, and applying critical professional judgment. [, 2]
    • Chapter 9: Communicating Data Analysis Results
        • Data storytelling, corporate dashboard design, and translating complex analytics into clear business reporting. [1, 2]
Part 4: Integration (Modular Cases)
    • Chapter 10: Data Analytics and Decision Making
        • Comprehensive, standalone modular cases applying analytics directly to core accounting fields: Financial, Managerial, Audit, Tax, and Accounting Information Systems (AIS). [, 2]
Integrated Software & Skills
Throughout these topics, the text includes hands-on labs utilizing industry-standard business intelligence and analytics tools: [, 2]
  • Microsoft Power BI and Tableau for visualization and interactive dashboards.
  • Microsoft Excel for foundational modeling and data manipulation.
  • Alteryx or SQL-based logic for structured data preparation and automation. [1, 2, 3, 4]

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Solution-manual-For-Data-and-Analytics-in-Accounting-1e-Dzuranin.pdf 14.32 MB

Topics

Alteryx or SQL-based logic for structured data preparation and automation and setting up relational database models CPA Evolution Model and professional standards. Data and Analytics in the Accounting Profession establishing data governance rules Financial Managerial Audit Tax Microsoft Excel for foundational modeling and data manipulation Microsoft Power BI and Tableau transforming data (ETL process) translating complex analytics into clear business reporting. understanding schema types using the MOSAIC framework
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