Accounting Data Analytics

  1. Diagnostic Analytics: Understanding Why It Happened
    1. Root Cause Analysis Methodologies
      1. Problem Identification Techniques
        1. Cause-and-Effect Diagrams
          1. Five Whys Analysis
            1. Fishbone Diagrams
            2. Variance Analysis Techniques
              1. Budget vs. Actual Analysis
                1. Price Variance Analysis
                  1. Quantity Variance Analysis
                    1. Mix Variance Analysis
                      1. Yield Variance Analysis
                        1. Efficiency Variance Analysis
                        2. Pattern and Sequence Analysis
                          1. Transaction Sequencing Analysis
                            1. Pattern Recognition Techniques
                              1. Anomaly Pattern Detection
                                1. Behavioral Pattern Analysis
                                2. Drill-Down Analysis Methods
                                  1. Hierarchical Data Exploration
                                    1. Transaction-Level Analysis
                                      1. Multi-Dimensional Analysis
                                        1. Progressive Filtering Techniques
                                        2. Correlation and Causation Analysis
                                          1. Correlation Coefficient Calculation
                                            1. Correlation Matrix Analysis
                                              1. Identifying Spurious Relationships
                                                1. Establishing Causality
                                                  1. Confounding Variable Identification
                                                  2. Hypothesis Testing Framework
                                                    1. Hypothesis Formulation
                                                      1. Statistical Significance Testing
                                                        1. p-Value Interpretation
                                                          1. Confidence Interval Construction
                                                            1. Type I and Type II Errors

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                                                          4. Descriptive Analytics: Understanding What Happened

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                                                          6. Predictive Analytics: Forecasting What Will Happen