Accounting Data Analytics

  1. The Accounting Data Analytics Process
    1. IMPACT Cycle Framework
      1. Identifying the Question
        1. Defining Business Problems
          1. Setting Analytical Objectives
            1. Stakeholder Requirements Analysis
            2. Mastering the Data
              1. Data Collection Strategies
                1. Data Validation Techniques
                  1. Data Quality Assessment
                  2. Performing the Test Plan
                    1. Selecting Analytical Methods
                      1. Designing Experiments
                        1. Implementation Planning
                        2. Addressing and Refining Results
                          1. Interpreting Analytical Output
                            1. Refining Models and Approaches
                              1. Sensitivity Analysis
                              2. Communicating Insights
                                1. Audience Analysis
                                  1. Tailoring Communication Strategies
                                    1. Visualizing Results Effectively
                                    2. Tracking Outcomes
                                      1. Monitoring Implementation
                                        1. Measuring Impact
                                          1. Continuous Improvement
                                        2. CRISP-DM Methodology
                                          1. Business Understanding Phase
                                            1. Defining Project Goals
                                              1. Assessing Business Context
                                                1. Success Criteria Definition
                                                2. Data Understanding Phase
                                                  1. Initial Data Collection
                                                    1. Data Exploration Techniques
                                                      1. Data Quality Assessment
                                                      2. Data Preparation Phase
                                                        1. Data Cleaning Procedures
                                                          1. Feature Engineering
                                                            1. Data Integration
                                                            2. Modeling Phase
                                                              1. Model Selection Criteria
                                                                1. Model Building Techniques
                                                                  1. Parameter Tuning
                                                                  2. Evaluation Phase
                                                                    1. Model Assessment Methods
                                                                      1. Validation Techniques
                                                                        1. Performance Metrics
                                                                        2. Deployment Phase
                                                                          1. Model Integration Strategies
                                                                            1. Ongoing Maintenance
                                                                              1. Monitoring and Updates
                                                                            2. Analytical Question Formulation
                                                                              1. Types of Analytical Questions
                                                                                1. Descriptive Questions
                                                                                  1. Diagnostic Questions
                                                                                    1. Predictive Questions
                                                                                      1. Prescriptive Questions
                                                                                      2. Translating Business Problems into Data Questions
                                                                                        1. Question Refinement Process
                                                                                        2. Data-Driven Mindset Development
                                                                                          1. Critical Thinking with Data
                                                                                            1. Analytical Culture Adoption
                                                                                              1. Overcoming Cognitive Biases

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                                                                                            1. Foundations of Accounting Data Analytics

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                                                                                            3. Data Sourcing, Preparation, and Management