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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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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. ...

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 ChapterPart 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 & SkillsThroughout 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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